Google Cloud Digital Leader Practice Exam

Google Cloud Digital Leader Practice Exam

About Google Cloud Digital Leader Practice Exam

The Google Cloud Digital Leader exam has been built for candidates with the knowledge and skills to distinguish and evaluate the various capabilities of Google Cloud core products and services to achieve desired organizational goals. As a Google Cloud Digital Leader, you should be well-versed in basic cloud concepts and the ability to demonstrate a broad application of cloud computing knowledge in various applications.

Skills Required

The Google Cloud Digital Leader exam is independent of the job role. The exam evaluates the skills of candidates who wish to develop proficiency and understand the purpose and application of Google Cloud products.

Exam Details

• Exam Duration: 90 minutes
• Exam Language: English, Japanese
  
• Exam format: 50-60 multiple choice and multiple response questions
• Exam Prerequisites: None
• Recommended experience: Experience collaborating with technical professionals

Course Outline

The Google Cloud Digital Leader exam covers latest and updated exam topics -  

Domain 1 - Understanding the Digital Transformation with Google Cloud (Approx. 17% of the exam)

1.1 Explain the Impact of Cloud Technology on Business

• Explain how cloud technology is reshaping modern businesses.
  
• Define key terms: cloud, cloud technology, data, digital transformation, cloud-native, open source, open standards.
• Contrast cloud technology with traditional on-premises systems.
• Discuss the advantages of cloud technology for digital transformation, including scalability, flexibility, agility, security, cost-effectiveness, and strategic value.
• Compare and differentiate on-premises infrastructure, public cloud, private cloud, hybrid cloud, and multicloud.
• Highlight the business transformation benefits of Google Cloud: intelligence, freedom, collaboration, trust, and sustainability.
• Identify risks organizations face if they don't adopt emerging technologies.
• Explore the drivers and challenges behind digital transformation initiatives.
• Discuss how Google Cloud accelerates digital transformation through app and infrastructure modernization, data democratization, enhanced collaboration, and trusted transactions.

1.2 Explain the Core Cloud Concepts

• Discuss foundational cloud concepts.
  
• Evaluate how moving to the cloud influences flexibility, scalability, reliability, agility, and total cost of ownership (TCO), applying these concepts to business scenarios.
• Explain how transitioning from on-premises to cloud shifts capital expenditures (CapEx) to operational expenditures (OpEx) and the impact on TCO.
• Identify when private, hybrid, or multicloud infrastructures are best suited to specific business cases.
• Define basic network infrastructure terminology: IP addresses, ISPs, DNS, regions, zones, fiber optics, subsea cables, network edge data centers, latency, and bandwidth.
• Discuss Google Cloud’s global infrastructure and its role in supporting digital transformation.

1.3 Explain Cloud Computing Models and Shared Responsibility

• Explore the benefits and tradeoffs of IaaS, PaaS, and SaaS models.
  
• Define IaaS, PaaS, and SaaS.
• Compare these models in terms of TCO, flexibility, shared responsibilities, management, and staffing requirements.
• Assess which cloud model (IaaS, PaaS, SaaS) fits different business scenarios.
• Explain the cloud shared responsibility model and outline the roles of the cloud provider vs. the customer for each computing model.

Domain 2 - Understanding and Exploring Data Transformation with Google Cloud (Approx. 16%)

2.1 Explain Data as a Strategic Asset

• Understand the role of data in digital transformation.
  
• Explain how data drives insights, informs decision-making, and creates value.
• Clarify the differences between databases, data warehouses, and data lakes.
• Discuss how businesses can leverage their existing data, collect new data, and source data externally to generate value.
• Explore how cloud solutions unlock value from both structured and unstructured data.
• Define key concepts in the data value chain.
• Discuss the importance of data governance in successful data transformation.

2.2 Explain Google Cloud Data Management Solutions

• Identify the right Google Cloud data management products for different business scenarios.
  
• Compare Google Cloud's data solutions like Cloud Storage, Cloud Spanner, Cloud SQL, Cloud Bigtable, BigQuery, and Firestore.
• Define key concepts: relational, non-relational, object storage, SQL, NoSQL.
• Highlight the benefits of BigQuery as a serverless, managed data warehouse that supports analytics in multicloud environments.
• Compare storage classes in Cloud Storage based on cost and access frequency (Standard, Nearline, Coldline, Archive).
• Discuss methods for migrating and modernizing databases in the cloud.

2.3 Explain to Leveraging Data for Business Insights

• Explore how analytics tools add value across different business use cases.
  
• Demonstrate how Looker empowers users to generate insights through self-service business intelligence.
• Explain the value of integrating BigQuery data into Looker for real-time reporting, dashboards, and workflows.
• Discuss how real-time streaming analytics delivers business value.
• Highlight how products like Pub/Sub and Dataflow modernize data pipelines.

Domain 3: Understanding and Innovating with Google Cloud AI (Approx. 16% of the exam)

3.1 Explain AI and Machine Learning (ML) Essentials

• Discuss fundamental AI and ML concepts and their business value.
  
• Define AI and ML, distinguishing them from data analytics and business intelligence.
• Describe the types of problems ML can solve and the business value it offers, such as working with large datasets, scaling decisions, and unlocking unstructured data.
• Explain why high-quality data is critical for building successful ML models.
• Explore the importance of responsible and explainable AI.

3.2 Explain Google Cloud’s AI and ML Solutions

• Understand Google Cloud’s AI/ML offerings and how they fit various business scenarios.
  
• Analyze key considerations in selecting Google Cloud AI/ML products, including speed, effort, differentiation, and required expertise.
• Identify the appropriate AI/ML solutions—pre-trained APIs, AutoML, or custom models—based on business needs.

3.3 Explain to implement Google Cloud AI and ML Solutions

• Explain how different AI/ML solutions create business value.
  
• Describe how BigQuery ML enables businesses to create and run ML models using standard SQL queries.
• Select the most suitable Google Cloud pre-trained APIs (e.g., Natural Language, Vision, Translation, Speech-to-Text, Text-to-Speech) for specific business use cases.
• Discuss how organizations can use AutoML to train custom ML models with their own data.
• Explore how building custom models on Vertex AI fosters business differentiation.
• Recognize TensorFlow as a key toolset for building and training ML models, with Cloud TPU enhancing performance.

Domain 4: Understanding to modernize Infrastructure and Applications with Google Cloud (Approx. 17%)

4.1 Explain about Cloud Modernization and Migration

• Understand the importance of infrastructure and application modernization in digital transformation.
  
• Define key terms: workload, retire, retain, rehost, lift and shift, replatform, refactor, reimagine.
• Discuss how infrastructure and application modernization with Google Cloud benefits businesses.

4.2 Explain Computing in the Cloud

• Explore cloud computing options and their advantages.
  
• Define key cloud computing concepts: VMs, containers, microservices, serverless computing, Kubernetes, autoscaling, load balancing.
• Discuss the business benefits of cloud computing.
• Compare different computing options and their constraints.

Domain 5 Understanding Trust and Security with Google Cloud (Approx. 17% of the exam)

5.1 Explain Cloud Security Fundamentals

• Understand key cloud security concepts.
  
• Discuss today’s cybersecurity threats and their implications for businesses.
• Compare cloud security with traditional on-premises security.

5.2 Explain Google’s Multi-Layered Security Approach

• Learn about Google’s defense-in-depth approach to infrastructure security.
• Explain the value of encryption and how it protects data across the cloud.

Domain 6: Understand Scaling with Google Cloud Operations (~17% of the exam)

6.1 Explain Financial Governance and Managing Cloud Costs

• Discuss how Google Cloud supports an organization's financial governance and helps control cloud costs.
  
• Explore best practices for cloud financial governance, which provide predictability and control over cloud resources.
• Define key cloud cost management terms and concepts.
• Explain the advantages of utilizing resource hierarchies for access control.
• Highlight the value of managing cloud consumption through resource quotas and budget thresholds.
• Discuss how organizations can leverage Cloud Billing Reports to visualize and manage cost data.

6.2 Explain Operational Excellence and Reliability at Scale

• Understand the fundamental concepts behind modern operations, reliability, and resilience in the cloud.
  
• Explore the benefits of modernizing operations using Google Cloud.
• Define key cloud operations-related terms.
• Emphasize the importance of designing resilient, fault-tolerant, and scalable infrastructure to ensure high availability and disaster recovery.
• Learn the key terms related to cloud reliability, DevOps, and Site Reliability Engineering (SRE).
• Discover the benefits organizations gain from utilizing Google Cloud Customer Care to aid their cloud adoption journey.
• Describe the lifecycle of a support case within the Google Cloud Customer Care process.

6.3 Explain Sustainability with Google Cloud

• Explore how Google Cloud supports organizations in meeting sustainability goals and reducing environmental impact.
  
• Understand Google Cloud’s commitment to sustainability and efforts to minimize environmental impact.
• Discuss Google's carbon-neutral and renewable energy initiatives and their benefits to organizations looking to minimize their carbon footprint.

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