Associate-Data-Practitioner Exam Study Guide Free Practice Test LAST UPDATED DATE Sep 21, 2025 [Q37-Q51]

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Associate-Data-Practitioner Exam Study Guide Free Practice Test LAST UPDATED DATE Sep 21, 2025

The New Associate-Data-Practitioner 2025 Updated Verified Study Guides & Best Courses

Google Associate-Data-Practitioner Exam Syllabus Topics:

Topic	Details
Topic 1	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.\| 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 2	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
Topic 3	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.

QUESTION 37
You have an existing weekly Storage Transfer Service transfer job from Amazon S3 to a Nearline Cloud Storage bucket in Google Cloud. Each week, the job moves a large number of relatively small files. As the number of files to be transferred each week has grown over time, you are at risk of no longer completing the transfer in the allocated time frame. You need to decrease the total transfer time by replacing the process.
Your solution should minimize costs where possible. What should you do?

Create a transfer job using the Google Cloud CLI, and specify the Standard storage class with the – custom-storage-class flag.

Create parallel transfer jobs using include and exclude prefixes.

Create a batch Dataflow job that is scheduled weekly to migrate the data from Amazon S3 to Cloud Storage.

Create an agent-based transfer job that utilizes multiple transfer agents on Compute Engine instances.

QUESTION 38
Your organization sends IoT event data to a Pub/Sub topic. Subscriber applications read and perform transformations on the messages before storing them in the data warehouse. During particularly busy times when more data is being written to the topic, you notice that the subscriber applications are not acknowledging messages within the deadline. You need to modify your pipeline to handle these activity spikes and continue to process the messages. What should you do?

Retry messages until they are acknowledged.
B Implement flow control on the subscribers

Forward unacknowledged messages to a dead-letter topic.

Seek back to the last acknowledged message.

QUESTION 39
You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

Enable access control by using IAM roles.

Encrypt the data by using customer-managed encryption keys (CMEK).

Update dataset privileges by using the SQL GRANT statement.

Export the data to Cloud Storage, and use signed URLs to authorize access.

QUESTION 40
You recently inherited a task for managing Dataflow streaming pipelines in your organization and noticed that proper access had not been provisioned to you. You need to request a Google-provided IAM role so you can restart the pipelines. You need to follow the principle of least privilege. What should you do?

Request the Dataflow Developer role.

Request the Dataflow Viewer role.

Request the Dataflow Worker role.

Request the Dataflow Admin role.

QUESTION 41
Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?

Use Cloud Scheduler to schedule the jobs to run.

Use Cloud Tasks to schedule and run the jobs asynchronously.

Create directed acyclic graphs (DAGs) in Cloud Composer. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.

Create directed acyclic graphs (DAGs) in Apache Airflow deployed on Google Kubernetes Engine. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.

QUESTION 42
You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

Enable access control by using IAM roles.

Update dataset privileges by using the SQL GRANT statement.

Export the data to Cloud Storage, and use signed URLs to authorize access.

Encrypt the data by using customer-managed encryption keys (CMEK).

QUESTION 43
You work for a healthcare company that has a large on-premises data system containing patient records with personally identifiable information (PII) such as names, addresses, and medical diagnoses. You need a standardized managed solution that de-identifies PII across all your data feeds prior to ingestion to Google Cloud. What should you do?

Use Cloud Run functions to create a serverless data cleaning pipeline. Store the cleaned data in BigQuery.

Use Cloud Data Fusion to transform the data. Store the cleaned data in BigQuery.

Load the data into BigQuery, and inspect the data by using SQL queries. Use Dataflow to transform the data and remove any errors.

Use Apache Beam to read the data and perform the necessary cleaning and transformation operations.Store the cleaned data in BigQuery.

QUESTION 44
Your company uses Looker to visualize and analyze sales data. You need to create a dashboard that displays sales metrics, such as sales by region, product category, and time period. Each metric relies on its own set of attributes distributed across several tables. You need to provide users the ability to filter the data by specific sales representatives and view individual transactions. You want to follow the Google-recommended approach. What should you do?

Create multiple Explores, each focusing on each sales metric. Link the Explores together in a dashboard using drill-down functionality.

Use BigQuery to create multiple materialized views, each focusing on a specific sales metric. Build the dashboard using these views.

Create a single Explore with all sales metrics. Build the dashboard using this Explore.

Use Looker’s custom visualization capabilities to create a single visualization that displays all the sales metrics with filtering and drill-down functionality.

QUESTION 45
Your retail organization stores sensitive application usage data in Cloud Storage. You need to encrypt the data without the operational overhead of managing encryption keys. What should you do?

Use Google-managed encryption keys (GMEK).

Use customer-managed encryption keys (CMEK).

Use customer-supplied encryption keys (CSEK).

Use customer-supplied encryption keys (CSEK) for the sensitive data and customer-managed encryption keys (CMEK) for the less sensitive data.

QUESTION 46
You need to design a data pipeline that ingests data from CSV, Avro, and Parquet files into Cloud Storage. The data includes raw user input. You need to remove all malicious SQL injections before storing the data in BigQuery. Which data manipulation methodology should you choose?

ELT

ETL

ETLT

QUESTION 47
Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?

Enable Object Versioning.

Change the bucket storage class to Archive.

Set a bucket retention policy.

Set temporary object holds.

QUESTION 48
You are a Looker analyst. You need to add a new field to your Looker report that generates SQL that will run against your company’s database. You do not have the Develop permission. What should you do?

Create a new field in the LookML layer, refresh your report, and select your new field from the field picker.

Create a calculated field using the Add a field option in Looker Studio, and add it to your report.

Create a table calculation from the field picker in Looker, and add it to your report.

Create a custom field from the field picker in Looker, and add it to your report.

QUESTION 49
Your team uses the Google Ads platform to visualize metrics. You want to export the data to BigQuery to get more granular insights. You need to execute a one-time transfer of historical data and automatically update data daily. You want a solution that is low-code, serverless, and requires minimal maintenance. What should you do?

Export the historical data to BigQuery by using BigQuery Data Transfer Service. Use Cloud Composer for daily automation.

Export the historical data to Cloud Storage by using Storage Transfer Service. Use Pub/Sub to trigger a Dataflow template that loads data for daily automation.

Export the historical data as a CSV file. Import the file into BigQuery for analysis. Use Cloud Composer for daily automation.

Export the historical data to BigQuery by using BigQuery Data Transfer Service. Use BigQuery Data Transfer Service for daily automation.

QUESTION 50
Your organization needs to store historical customer order dat
a. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?

Store the data in Cloud Storaqe usinq Coldline storaqe.

Store the data in Cloud Storaqe usinq Nearline storaqe.

Store the data in Cloud Storage using Standard storage.

Store the data in Cloud Storage using Archive storage.

QUESTION 51
Your company has several retail locations. Your company tracks the total number of sales made at each location each day. You want to use SQL to calculate the weekly moving average of sales by location to identify trends for each store. Which query should you use?