Google Associate Data Practitioner Exam Syllabus

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Before starting your Associate Data Practitioner exam preparation, it is recommended to review the complete Google Cloud Associate Data Practitioner exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Associate Data Practitioner questions. We also provide premium Associate Data Practitioner practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Google Associate Data Practitioner Questions

Google Associate Data Practitioner Exam Objectives

Section	Weight	Objectives
Section 1: Data Preparation and Ingestion	30%	This section of the exam measures the skills of Data Engineers and covers the preparation and processing of data. Candidates will differentiate between various data manipulation methodologies such as ETL, ELT, and ETLT. They will choose appropriate data transfer tools, assess data quality, and conduct data cleaning using tools like Cloud Data Fusion and BigQuery.
Section 2: Data Analysis and Presentation	27%	Candidates will define and execute SQL queries to generate reports and analyze data for business questions. Additionally, they will visualize data and create dashboards in Looker based on business requirements. A critical skill measured is the ability to analyze data to answer specific business questions.
Section 3: Data Pipeline Orchestration	18%	Candidates will select appropriate data transformation tools based on business needs and evaluate use cases for ELT versus ETL. They will also schedule, automate, and monitor basic data processing tasks using tools like Cloud Composer and BigQuery. A key skill measured is effectively scheduling and managing data processing tasks.
Section 4: Data Management	25%	Candidates will establish principles of least privilege access using Identity and Access Management (IAM). They will compare methods of access control for Cloud Storage. Candidates will also configure lifecycle management rules to manage data retention effectively. A critical skill measured is ensuring proper access control to sensitive data within Google Cloud services.
Official Information		https://cloud.google.com/learn/certification/data-practitioner

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