Google Associate Data Practitioner
Google Associate Data Practitioner
Google Associate Data Practitioner
The Google Associate Data Practitioner certification exam has been developed validates the skills and ability to secure and manage data on Google Cloud. The Associate Data Practitioner exam is ideal for professionals with experience in data ingestion, transformation, pipeline orchestration, analysis, machine learning, and visualization, this certification requires a foundational understanding of cloud computing concepts, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Skills Evaluated
The exam evaluates your skills in four key areas:
- Data Preparation and Ingestion: Skills in data cleaning, quality assessment, extraction, and loading into Google Cloud storage systems using the appropriate tools and methodologies.
- Data Analysis and Visualization: Expertise in identifying trends using BigQuery, creating dashboards with Looker, and applying machine learning models.
- Data Pipeline Orchestration: Ability to design, schedule, automate, and monitor data pipelines with Google Cloud tools like Dataflow and Cloud Composer.
- Data Management: Proficiency in configuring access control, lifecycle management, security measures, and disaster recovery strategies.
Course Outline
The Google Associate Data Practitioner Exam covers the following -
- Section 1: Data Preparation and Ingestion (Approx 30%)
- Section 2: Data Analysis and Presentation (Approx 27%)
- Section 3: Data Pipeline Orchestration (Approx 18%)
- Section 4: Data Management (Approx 25%)
Exam Format and Information
Exam Name Google Associate Data Practitioner | Exam Code ADP |
Exam Duration 2 hours | Exam Format Multiple Choice and Multi-Response Questions |
Exam Type Proctored Exam | Number of Questions 50-60 Questions |
Eligibility/Pre-Requisite None | Exam Status Live |
Exam Language English | Validity 3 years |