The Google Cloud Digital Leader Exam is a certification exam offered by Google Cloud that is designed to test an individual’s knowledge of the fundamentals of Google Cloud technologies and services. The exam is intended for individuals who are new to Google Cloud and want to learn more about its offerings, as well as for business professionals who want to demonstrate their knowledge of Google Cloud to colleagues and clients.
Google Cloud Digital Leader Exam Glossary
Here are some key concepts and areas of knowledge that you may encounter on the Google Cloud Digital Leader Exam:
- Cloud Computing: The delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the internet (“the cloud”).
- Google Cloud Platform (GCP): A suite of cloud computing services offered by Google that runs on the same infrastructure that Google uses internally for its own products and services.
- Infrastructure as a Service (IaaS): A cloud computing model in which an organization rents computing infrastructure, including virtual machines, storage, and networking components, from a cloud provider.
- Platform as a Service (PaaS): A cloud computing model in which an organization rents a platform for building, deploying, and managing applications, without the need to manage the underlying infrastructure.
- Software as a Service (SaaS): A cloud computing model in which an organization rents software applications that are hosted by a cloud provider.
- Compute Engine: A service provided by Google Cloud that allows users to create and manage virtual machines (VMs) on Google’s infrastructure.
- App Engine: A service provided by Google Cloud that allows users to build and deploy web and mobile applications on Google’s infrastructure without having to manage the underlying infrastructure.
- Cloud Storage: A service provided by Google Cloud that allows users to store and retrieve data on Google’s infrastructure.
- BigQuery: A service provided by Google Cloud that allows users to analyze large datasets using SQL-like queries.
- Machine Learning: A type of artificial intelligence (AI) that allows computers to learn from data and improve their performance on a specific task over time.
- Internet of Things (IoT): The network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, and connectivity, which enables these objects to connect and exchange data.
- Cloud Security: The set of policies, procedures, and technologies that protect cloud computing resources from unauthorized access, use, disclosure, disruption, modification, or destruction.
Google Cloud Digital Leader Exam Guide
Here are some official Google Cloud resources to help you prepare for the Google Cloud Digital Leader Exam:
- Google Cloud Digital Leader Exam Guide: This guide provides an overview of the exam, including the topics covered, the format of the questions, and tips for preparation. You can find it here: https://cloud.google.com/certification/guides/digital-leader
- Google Cloud Certified – Digital Leader Training: This training program is designed to help you prepare for the exam. It covers the same topics as the exam and includes hands-on labs to help you gain practical experience with Google Cloud Platform products and services. You can access the training program here: https://cloud.google.com/training/certification/digital-leader
- Google Cloud Documentation: The Google Cloud documentation provides detailed information about all of the Google Cloud Platform products and services. It is a valuable resource for studying the topics covered on the exam. You can access the documentation here: https://cloud.google.com/docs/
- Google Cloud Certified Community: Joining the Google Cloud Certified Community is a great way to connect with other individuals who are preparing for Google Cloud exams. You can ask questions, share tips and resources, and get support from other community members. You can access the community here: https://cloud.google.com/certification/community
- Google Cloud Console: The Google Cloud Console is a web-based user interface that you can use to manage your Google Cloud Platform resources. It is a valuable tool for gaining practical experience with Google Cloud Platform products and services. You can access the console here: https://console.cloud.google.com/
Google Cloud Digital Leader Exam Tips and Tricks
Here are some tips and tricks to help you prepare for the Google Cloud Digital Leader Exam:
- Review the exam guide: Make sure you thoroughly review the exam guide provided by Google. This will give you an understanding of the exam format, the topics covered, and the types of questions you can expect to see.
- Take advantage of Google’s training resources: Google offers a variety of training resources to help you prepare for the exam. This includes online courses, hands-on labs, and documentation.
- Practice with Google Cloud Console: The Google Cloud Console is a web-based user interface that you can use to manage your Google Cloud Platform resources.
- Study the key concepts: Make sure you understand the key concepts and terminology related to cloud computing and Google Cloud Platform.
- Take practice exams: Taking practice exams can help you get familiar with the exam format and types of questions you can expect to see. There are a variety of practice exams available online, including those provided by Google and third-party vendors.
- Manage your time: The Google Cloud Digital Leader Exam is timed, so it’s important to manage your time effectively. Make sure you pace yourself and allocate enough time for each question.
Guide to pass the Cloud Digital Leader Exam
The Cloud Digital Leader exam is open to all job functions. Take the exam to test your knowledge and abilities if you wish to or are required to understand the purpose and use of Google Cloud products. There are no prerequisites for this exam, however prior experience collaborating with technical professionals is suggested.
Further, the Google Cloud Digital Leader is a 90-minute exam with multiple-choice and multiple-select questions, as well as real-world technical situations, to test your ability to identify appropriate cloud solutions and Google Cloud products. The exam registration fee is $99, and it is offered in both English and Japanese.
Step 1: Register for the Exam
To schedule an exam, please follow these steps:
- Firstly, go to the Google Cloud website and search for the exam you want to take, then click Register.
- However, certifications for Google Cloud are offered in a number of languages. On the exam page, you’ll see a list of possible languages. If you’re a first-time test taker or wish to take the certification exam in a localized language, create a new user account in Google Cloud’s instance of that language in Webassessor.
- Secondly, create an account and select whether you want to take the exam online or in a testing center near you. This comprises the following exam delivery methods:
- Taking the proctored online exam from a remote location. To do so, first look over the prerequisites for online testing.
- Secondly, go to a testing location and take the onsite-proctored exam. You may find a test center near you.
Step 2: Understand the Exam Objectives
This is an important factor in your preparation. Every exam includes a topic section that is quite important. It’s also important to go through each portion of this section in order to have a better understanding of the subject. The Google Cloud Digital Leader exam is divided into many subjects, each with its own set of parts and subsections. The topics:
Section 1: Digital Transformation with Google Cloud (~17% of the exam)
1.1 Why Cloud Technology is Transforming Business
● Explain why and how the cloud is revolutionizing businesses. (Google Documentation: What is Digital Transformation?)
a. Define the terms: cloud, cloud technology, data, digital transformation, cloud-native, open source, open standard. (Google Documentation: What is cloud native?)
b. Describe the differences between cloud technology and traditional or on-premises technology.
c. Explain the benefits of cloud technology to a business’ digital transformation: this technology is scalable, flexible, agile, secure, cost-effective and offers strategic value. (Google Documentation: Advantages and Disadvantages of Cloud Computing)
d. Describe the primary benefits of on-premises infrastructure, public cloud, private cloud, hybrid cloud, and multicloud and differentiate between them. (Google Documentation: What is multicloud?)
e. Describe the main business transformation benefits of Google Cloud: intelligence, freedom, collaboration, trust, and sustainability. (Google Documentation: Why Google Cloud)
f. Describe the implications and risks for organizations that do not adopt new technology. (Google Documentation: Advantages and Disadvantages of Cloud Computing)
g. Describe the drivers and challenges that lead organizations to undergo a digital transformation. (Google Documentation: What is Digital Transformation?)
h. Describe the transformation cloud and how it accelerates an organization’s digital transformation through app and infrastructure modernization, data democratization, people connections, and trusted transactions. (Google Documentation: Reinventing the future with a transformation cloud)
1.2 Fundamental Cloud Concepts
● Explain general cloud concepts. (Google Documentation: Google Cloud overview)
a. Describe how transitioning to a cloud infrastructure affects flexibility, scalability, reliability, elasticity, agility, and total cost of ownership (TCO). Apply these concepts to various business use cases.
b. Explain how an organization’s transition from an on-premises environment to the cloud shifts their capital expenditures (CapEx) to operational expenditures (OpEx), and how that affects their total cost of ownership (TCO).
c. Identify when private, hybrid, or multicloud infrastructures best apply to different business use cases. (Google Documentation: Distributed, hybrid, and multicloud overview)
d. Define basic network infrastructure terminology, including: IP address; internet service provider (ISP); domain name server (DNS), regions, and zones; fiber optics; subsea cables; network edge data centers, latency; and bandwidth. (Google Documentation: Google Cloud Networking overview)
e. Discuss how Google Cloud supports digital transformation with global infrastructure and data centers connected by a fast, reliable network. (Google Documentation: Google Cloud infrastructure)
1.3 Cloud Computing Models and Shared Responsibility
● Discuss the benefits and tradeoffs of using infrastructure as a service (IaaS); platform as a service (PaaS); and software as a service (SaaS). (Google Documentation: PaaS vs. IaaS vs. SaaS vs. CaaS)
a. Define IaaS, PaaS, and SaaS. (Google Documentation: PaaS vs. IaaS vs. SaaS vs. CaaS)
b. Compare and contrast the benefits and tradeoffs of IaaS, PaaS, and SaaS including total cost of ownership (TCO), flexibility, shared responsibilities, management level, and necessary staffing and technical expertise.
c. Determine which computing model (IaaS, PaaS, SaaS) applies to various business scenarios and use cases.
d. Describe the cloud shared responsibility model. Compare which responsibilities are the cloud provider’s, and which responsibilities are the customer’s for on-premises and cloud computing models (IaaS, PaaS, SaaS). (Google Documentation: Shared responsibilities and shared fate on Google Cloud)
Section 2: Exploring Data Transformation with Google Cloud (~16% of the exam)
2.1 The Value of Data
● Describe the intrinsic role that data plays in an organizations’ digital transformation. (Google Documentation: What is Digital Transformation?)
a. Explain how data generates business insights, drives decision making, and creates new value. (Google Documentation: What is Big Data?)
b. Differentiate between basic data management concepts, in particular: databases; data warehouses; data lakes. (Google Documentation: What is a Data Lake?)
c. Explain how organizations can create value by using their current data, collecting new data, and sourcing data externally. (Google Documentation: Integrate your data sources with Data Catalog, What is Data Governance?)
d. Describe how the cloud unlocks business value from all types of data, including structured data and previously untapped unstructured data. (Google Documentation: What is a data cloud?)
e. Discuss the main data value chain concepts and terms.
f. Explain how data governance is essential to a successful data journey. (Google Documentation: What is Data Governance?)
2.2 Google Cloud Data Management Solutions
● Determine which Google Cloud data management products are applicable to different business use cases.
a. Differentiate between Google Cloud data management options including data type and common business use case, including: Cloud Storage; Cloud Spanner; Cloud SQL; Cloud Bigtable; BigQuery; Firestore. (Google Documentation: Google Cloud database options, explained)
b. Define key data management concepts and terms, including: relational; non-relational; object storage; structured query language (SQL); NoSQL. (Google Documentation: What is a NoSQL database?)
c. Describe the benefits of using BigQuery as a serverless, managed data warehouse and analytics engine that can be used in a multicloud environment. (Google Documentation: BigQuery overview)
d. Differentiate between storage classes in Cloud Storage regarding cost and frequency of access, including: Standard; Nearline; Coldline; Archive. (Google Documentation: Storage classes)
e. Describe the ways that an organization can migrate or modernize their current database in the cloud. (Google Documentation: Migration and modernization tools)
2.3 Making Data Useful and Accessible
● Discuss how smart analytics, business intelligence tools, and streaming analytics can add value in different business use cases. (Google Documentation: What is Business Intelligence?, What is streaming analytics?)
a. Describe how Looker democratizes access to data by empowering individuals to self-serve business intelligence and create insights. (Google Documentation: Analyze governed data, deliver business insights, and build AI-powered applications)
b. Discuss the value of analyzing and visualizing data from BigQuery in Looker to create real-time reports, dashboards, and integrating data into workflows. (Google Documentation: Analyze data with Looker Studio, Analyze data with BI Engine and Looker)
c. Describe how streaming analytics in real time makes data more useful and generates business value. (Google Documentation: What is streaming analytics?, Streaming analytics)
d. Describe the main Google Cloud products that modernize data pipelines, including Pub/Sub and Dataflow. (Google Documentation: Dataflow overview, Work with Dataflow data pipelines)
Section 3: Innovating with Google Cloud Artificial Intelligence (~16% of the exam)
3.1 AI and ML Fundamentals
● Discuss the main AI and ML concepts, and explain how ML can create business value. (Google Documentation: Machine learning workflow)
a. Define artificial intelligence (AI) and machine learning (ML).
b. Differentiate the capabilities of AI and ML from data analytics and business intelligence. (Google Documentation: Artificial intelligence (AI) vs. machine learning (ML))
c. Discuss the types of problems that ML can solve. (Google Documentation: What is Machine Learning (ML)?, Problem-solving with ML: automatic document classification)
d. Explain the business value ML creates, including: ability to work with large datasets; scaling business decisions; and unlocking unstructured data.
e. Explain why high-quality, accurate data is essential for successful ML models.
f. Discuss the importance of explainable and responsible AI (Google Documentation: Responsible AI)
3.2 Google Cloud’s AI and ML solutions
● Discuss the range of Google Cloud AI and ML solutions and products available, and how to select the most appropriate solution for different business use cases. (Google Documentation: AI and machine learning solutions)
a. Explain which decisions and tradeoffs organizations need to consider when selecting Google Cloud AI/ML solutions and products, including: speed; effort; differentiation; required expertise.
b. Discuss which Google Cloud AI and ML solutions and products might apply given different business use cases, including: pre-trained APIs; AutoML; build custom models. (Google Documentation: AI and machine learning products, AutoML)
3.3 Building and using Google Cloud AI and ML solutions
● Explain how Google Cloud’s pre-trained API, AutoML, and custom AI/ML products can create business value. (Google Documentation: AutoML)
a. Discuss how BigQuery ML lets users create and execute machine learning models in BigQuery by using standard SQL queries. (Google Documentation: Create machine learning models in BigQuery ML, Introduction to AI and ML in BigQuery)
b. Select which Google Cloud pre-trained API best applies to different business use cases, including: Natural Language API, Vision API, Cloud Translation API, Speech-to-Text API, and Text-to-Speech API. (Google Documentation: Natural Language AI, Translate docs, audio, and videos in real time with Google AI)
c. Explain how an organization can create business value by using their own data to train custom ML models with AutoML.
d. Discuss how building custom models by using Google Cloud’s Vertex AI can create opportunities for business differentiation. (Google Documentation: Introduction to Vertex AI)
e. Recognize TensorFlow as an end-to-end open source set of tools for building and training machine learning models and that Cloud Tensor Processing Unit (TPU) is Google’s proprietary hardware optimized for TensorFlow and ML performance. (Google Documentation: Accelerate AI development with Google Cloud TPUs)
Section 4: Modernize Infrastructure and Applications with Google Cloud (~17% of the exam)
4.1 Cloud modernization and migration
● Explain why modernization and migration to the cloud are important steps in an organization’s transformation journey, and how each application might have a different path. (Google Documentation: Modernization path for .NET applications on Google Cloud)
a. Discuss benefits of infrastructure modernization and application modernization by using Google Cloud. (Google Documentation: Infrastructure modernization)
b. Define the main cloud migration terms, including: workload; retire; retain; rehost; lift and shift; replatform; move and improve; refactor; reimagine. (Google Documentation: Migrate to Google Cloud: Get started)
4.2 Computing in the cloud
● Discuss the options for and advantages of running compute workloads in the cloud. (Google Documentation: Choose a Compute Engine deployment strategy for your workload)
a. Define the main cloud compute terms, including: virtual machines (VMs); containerization; containers; microservices; serverless computing; preemptible VMs; Kubernetes, autoscaling, load balancing. (Google Documentation: Load balancing and scaling)
b. Describe the benefits and business value of running compute workloads in the cloud. (Google Documentation: Advantages and Disadvantages of Cloud Computing)
c. Explain the choices and constraints between different compute options. (Google Documentation: Choosing the right compute option in GCP: a decision tree)
d. Discuss the business value of using Compute Engine to create and run virtual machines on Google’s infrastructure. (Google Documentation: Compute Engine)
e. Discuss the business value of choosing a rehost migration path for specialized legacy applications.
4.3 Serverless computing
● Discuss the advantages of serverless computing in application modernization. (Google Documentation: Serverless)
a. Explain the benefits of serverless computing. (Google Documentation: What is serverless computing?)
b. Discuss the business value of using serverless computing Google Cloud products, including: Cloud Run; App Engine; Cloud Functions. (Google Documentation: Cloud Functions overview)
4.4 Containers in the cloud
● Discuss the advantages of using containers in application modernization. (Google Documentation: Benefits of migrating to containers)
a. Discuss the advantages of modern cloud application development. (Google Documentation: Advantages and Disadvantages of Cloud Computing)
b. Differentiate between virtual machines and containers. (Google Documentation: Containers vs VMs (virtual machines): What are the differences?)
c. Discuss the main benefits of containers and microservices for application modernization. (Google Documentation: Cloud Application Modernization, What is Microservices Architecture?)
d. Discuss the business value of using Google Cloud products to deploy containers, including: Google Kubernetes Engine (GKE); Cloud Run. (Google Documentation: Use GKE and Cloud Run together)
4.5 The value of APIs
● Explain the business value of application programming interfaces (APIs). (Google Documentation: What is API management?)
a. Define application programming interface (API). (Google Documentation: Google Cloud APIs)
b. Explain how organizations can create new business opportunities by exposing and monetizing public-facing APIs.
c. Discuss the business value of using Apigee API Management. (Google Documentation: What is Apigee?)
4.6 Hybrid and multi-cloud
● Discuss the business reasons for choosing hybrid or multi-cloud strategies and how Anthos enables these strategies. (Google Documentation: What is multicloud?)
a. Discuss the reasons and use cases for why organizations choose a hybrid cloud or multi-cloud strategy. (Google Documentation: What is a Hybrid Cloud?)
b. Describe the business value of using Anthos as a single control panel for the management of hybrid or multicloud infrastructure.
Section 5: Trust and Security with Google Cloud (~17% of the exam)
5.1 Trust and security in the cloud
● Discuss fundamental cloud security concepts. (Google Documentation: Google security overview)
a. Describe today’s top cybersecurity threats and business implications.
b. Differentiate between cloud security and traditional on-premises security. (Google Documentation: Cloud network security)
c. Describe the importance of control, compliance, confidentiality, integrity, and availability in a cloud security model. (Google Documentation: Google security overview)
d. Define key security terms and concepts.
5.2 Google’s trusted infrastructure
● Explain the business value of Google’s defense-in-depth multilayered approach to infrastructure security. (Google Documentation: Infrastructure Security in Google Cloud)
a. Describe the benefits of Google designing and building its own data centers, using purpose-built servers, networking, and custom security hardware / software. (Google Documentation: Google infrastructure security design overview)
b. Describe the role of encryption in securing an organization’s data and the ways that it can protect data exposed to risks in different states. (Google Documentation: Default encryption at rest)
c. Differentiate between authentication, authorization, and auditing. (Google Documentation: Authentication and authorization)
d. Describe the benefits of using two-step verification (2SV) and IAM. (Google Documentation: Identity and Access Management (IAM))
e. Describe how an organization can protect against network attacks using Google products, including distributed denial-of-service (DDoS) using Google Cloud Armor. (Google Documentation: Configure advanced network DDoS protection)
f. Define Security Operations (SecOps) in the cloud and describe its business benefits. (Google Documentation: Google Security Operations overview)
5.3 Google Cloud’s trust principles and compliance
● Describe how Google Cloud earns and maintains customer trust in the cloud. (Google Documentation: Creating trust through transparency)
a. Discuss how Google Cloud’s trust principles are a commitment to our shared responsibility for protecting and managing an organization’s data in the cloud. (Google Documentation: Creating trust through transparency)
b. Describe how sharing transparency reports and undergoing independent third-party audits support customer trust inGoogle.
c. Describe why data sovereignty and data residency may be requirements and how Google Cloud offers organizations the ability to control where their data is stored. (Google Documentation: Implement data residency and sovereignty requirements)
d. Describe how Google Cloud compliance resource center and Compliance Reports Manager support industry and regional compliance needs. (Google Documentation: Compliance Reports Manager)
Section 6: Scaling with Google Cloud Operations (~17% of the exam)
6.1 Financial governance and managing cloud costs
● Discuss how Google Cloud supports an organization’s financial governance and ability to control their cloud costs. (Google Documentation: Cost Management)
a. Discuss how using cloud financial governance best practices provides predictability and control for cloud resources.
b. Define important cloud cost-management terms and concepts.
c. Discuss the benefits of using the resource hierarchy to control access. (Google Documentation: Resource hierarchy)
d. Describe the benefit of controlling cloud consumption using resource quota policies and budget threshold rules. (Google Documentation: Create, edit, or delete budgets and budget alerts)
e. Discuss how organizations can visualize their cost data by using Cloud Billing Reports. (Google Documentation: View your billing reports and cost trends)
6.2 Operational excellence and reliability at scale
● Discuss the fundamental concepts of modern operations, reliability, and resilience in the cloud. (Google Documentation: Google Cloud Architecture Framework: Reliability)
a. Describe the benefits of modernizing operations by using Google Cloud.
b. Define important cloud operations terms.
c. Describe the importance of designing resilient, fault-tolerant, and scalable infrastructure and processes for high availability and disaster recovery. (Google Documentation: Architecting disaster recovery for cloud infrastructure outages)
d. Define key cloud reliability, DevOps, and SRE terms.
e. Describe how organizations benefit from using Google Cloud Customer Care to support their cloud adoption. (Google Documentation: Google Cloud Customer Care)
f. Describe the life of a support case during the Google Cloud Customer Care process. (Google Documentation: Customer Care procedures)
6.3 Sustainability with Google Cloud
● Discuss how Google Cloud helps organizations meet sustainability goals and reduce environmental impact. (Google Documentation: Cloud sustainability)
a. Describe Google Cloud’s commitment to sustainability and reducing environmental impact.
b. Discuss how Google Cloud provides products to support organizations’ sustainability goals.
Step 3: Cloud Digital Leader Learning Path
Learn the fundamentals of cloud computing with this free learning path designed for cloud-based business professionals. The Cloud Digital Leader learning path is meant to increase cloud literacy and validate knowledge in order to prepare entire teams or individual practitioners for the Google Cloud Digital Leader certification test. The learning paths, on the other hand, include:
Path 1: Introduction to Digital Transformation with Google Cloud
The Cloud Digital Leader series begins with this course. Learn about the possibilities and challenges that businesses face when they start on their digital transformation path. You’ll learn about cloud computing fundamentals and how these transformation journeys relate to Google Cloud products. However, the modules covered in this course are:
Module 1: Why is cloud computing transforming business?
- This module defines cloud computing as a paradigm shift and shows how it is irreversibly changing organizations throughout the world. It explains how the basic components of cloud technology computing power and data can be used to generate new value within a company.
Module 2: Digital Transformation with Google Cloud
- Businesses might be at various phases of the digital transformation process. Google Cloud has highlighted some of the most prevalent opportunities and difficulties that need the usage of cloud technology. Google Cloud, therefore, categorizes its solutions based on these issues and possibilities. This module goes through everything.
Module 3: Scaling the innovation mindset
- Cloud computing requires more than simply a technology shift; it also requires a shift in how we operate. This module begins with a general review of six organizational transformation emphasis areas before focusing on the sixth: innovation. It focuses on how to use culture and business processes to naturally produce and grow innovation. Further, it provides fundamental ideas that you can implement in your day-to-day operations, using examples from Google’s success and real-world circumstances.
Path 2: Innovating with Data and Google Cloud
Learn what data is, how to utilize it to make decisions, and how it plays a critical role in machine learning. Structured and unstructured data, databases, data warehouses, and data lakes will all be introduced to learners.
Module 1: The Value of Data
- In practically every business, acquiring, organizing, and exploiting data is critical to changing customer experience and creating new value. The usefulness of data in allowing digital transformation is explored first, followed by a description of the many forms of data and concerns for collecting, storing, and processing data while employing cloud technology.
Module 2: Data Consolidation and Analytics
- This module defines essential topics in data management and discusses the advantages of transferring data to the cloud. It includes a number of client use cases as well as Google Cloud data management solutions. It concludes up with a look at essential technologies like BigQuery and Looker, which allow customers to get insights from their data.
Module 3: Innovation with Machine Learning
- This module focuses on machine learning’s capabilities and what can be done with large amounts of data. It extends the preceding module by describing how a computer may learn to anticipate, categorize, and suggest based on a large amount of data. Moreover, you’ll learn about clients that have utilized machine learning to provide new solutions to their consumers throughout the lesson.
Path 3: Infrastructure and Application Modernization with Google Cloud
Examine the drawbacks of an out-of-date IT infrastructure and how cloud technology might help organizations upgrade it. Begin by learning about the many computing alternatives accessible in the cloud, as well as the advantages of each. Later on, you’ll study application modernization and Application Programming Interfaces (APIs).
Module 1: Google Cloud Modernizing IT infrastructure.
- This module explains what modernizing an IT infrastructure involves and why it’s important. After that, it discusses the various computing alternatives before going on to private, hybrid, and multi-cloud architectures. Lastly, it concludes with a look at Google Cloud’s worldwide infrastructure.
Module 2: Modernizing Applications with Google Cloud
- This module looks at how organizations may use the cloud to upgrade their existing apps and create new ones. For businesses looking to upgrade their apps, it focuses on five frequent change patterns. The module then moves on to some of the most common business application development obstacles, before introducing two Google Cloud solutions to address these issues: Google Kubernetes Engine and Google App Engine.
Module 3: The Value of APIs
- APIs are a tool for both digital integration and digital transformation, as explained in this module. It starts by identifying legacy systems and the unique hurdles to meeting the digital age’s needs. It then goes on to define APIs and demonstrate how they may be used to upgrade outdated systems while also generating new business value. The module concludes with an overview of Apigee, an API administration platform, as well as customer examples.
Path 4: Understanding Google Cloud Security and Operations
Examine cloud cost management, security, and operations. Explore how organizations may purchase IT services from a cloud provider and opt to keep part or all of their own infrastructure, as well as the process of sharing data security between the cloud provider and the business. Moreover, learn the process of rethinking IT resource management in the cloud and how Google Cloud resource monitoring tools are helping in keeping a cloud environment under control and visible.
Module 1: Financial Governance in the Cloud
- This module highlights the main issues that businesses encounter when it comes to cloud cost management and presents a solution based on three lenses: people, process, and technology. It covers the process of thinking the total cost of ownership while utilizing cloud services before entering the key Google Cloud cost management ideas. Lastly, it concludes by outlining some best practices for managing cloud costs effectively.
Module 2: Security in the cloud
- The module begins by outlining a few basic terminologies relevant to cloud security. The Shared Responsibility Model then shows how businesses can manage data security and compliance on a continuous basis. Finally, it examines how Google Cloud Identity enables enterprises to monitor and manage access to data and resources.
Module 3: Checking Cloud IT Services and Operations
- This module begins by looking at IT operational problems in general, as well as how IT teams form and why that structure limits firms from swiftly providing service changes or new client experiences. It then describes DevOps and Site Reliability Engineering before applying them to IT operational changes as a framework. Finally, the module looks at Google Cloud resource monitoring tools and how they may help enterprises keep their cloud environments under control and visible.
Step 4: Google Cloud Adoption Framework
Make the transition to the cloud with confidence. The Google Cloud Adoption Framework will help you define key tasks and goals that will guarantee a successful cloud migration. However, if you want to build a real cloud-first business, you’ll need to achieve in four categories. These ideas will form the basis of your cloud preparation.
- Firstly, both top-down directives from sponsors and bottom-up momentum from cross-functional cooperation among your teams affect the success of your cloud deployment.
- Secondly, attempts to upskill your IT personnel, as well as knowledge provided by third-party contractors and partners, have an impact on your ability to keep learning.
- Thirdly, your capacity to scale in the cloud determines by how much you abstract away your infrastructure utilizing managed and serverless cloud services.
- Lastly, controlling who has access to and control over which resources, as well as defining the data that must be safeguarded, are two strategies to ensure your cloud estate’s security.
Step 5: Prepare with Practice Tests
The Cloud Digital Leader practice examinations will help you get a concept for the question format as well as relevant exam topics. Taking practice examinations, on the other hand, is critical for improving your preparation. You will learn about your weak and strong areas by evaluating yourself with Cloud Digital leader practice examinations. Additionally, you will be able to improve your reaction skills, which will help you to save time on the test. So, go online and search for the best practice exam tests to help you prepare for the exam.
Expert Corner
To assist you in exam preparation, the contents of the Google Cloud Digital Leader, as well as the important preparatory instructions, have been discussed in detail above. This test will put your knowledge, skill, and ability to collaborate to the test. AQTake practice examinations and assessments, but don’t forget to review. Last but not least, take the test and pass it!
