Google Associate Data Practitioner Exam Questions

Exam Name: Google Cloud Associate Data Practitioner

Exam Code: Associate Data Practitioner

Related Certification(s): Google Cloud Certified Certifications
Google Data Practitioner Certifications

Certification Provider: Google

Actual Exam Duration: 120 Minutes

Number of Associate Data Practitioner Practice Questions: 106 (updated: )

Expected Associate Data Practitioner Exam Topics, as suggested by Google:
Topic 1: Data Preparation and Ingestion
This section of the exam measures the skills of Google Cloud 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. A key skill measured is effectively assessing data quality before ingestion.
Topic 2: Data Analysis and Presentation
This domain assesses the competencies of Data Analysts in identifying data trends, patterns, and insights using BigQuery and Jupyter notebooks. Candidates will define and execute SQL queries to generate reports and analyze data for business questions.
Topic 3: Data Pipeline Orchestration
This section targets Data Analysts and focuses on designing and implementing simple data pipelines. Candidates will select appropriate data transformation tools based on business needs and evaluate use cases for ELT versus ETL.
Topic 4: Data Management
This domain measures the skills of Google Database Administrators in configuring access control and governance. Candidates will establish principles of least privilege access using Identity and Access Management (IAM) and compare methods of access control for Cloud Storage. They 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
Free Google Cloud Associate Data Practitioner Exam Actual Questions
Note: Google Cloud Associate Data Practitioner Premium Questions were last updated on

Q1# Your retail company collects customer data from various sources: You are designing a data pipeline to extract this data. Which Google Cloud storage system(s) should you select for further analysis and ML model training?

Q2# Your team uses Google Sheets to track budget data that is updated daily. The team wants to compare budget data against actual cost data, which is stored in a BigQuery table. You need to create a solution that calculates the difference between each day’s budget and actual costs. You want to ensure that your team has access to daily-updated results in Google Sheets. What should you do?

Q3# You are working with a small dataset in Cloud Storage that needs to be transformed and loaded into BigQuery for analysis. What should you do?

Q4# Your company’s customer support audio files are stored in a Cloud Storage bucket. What should you do?

Q5# Your team is building data pipelines with dependencies and scheduling requirements. What should you do?