Free Google Associate-Data-Practitioner Practice Test & Real Exam Questions

Exam Code/Number: Associate-Data-Practitioner
Exam Name/Title: Google Cloud Associate Data Practitioner
Certification Provider: Google
Corresponding Certification: Google Cloud Platform

Exam Questions: 108
Updated On: Aug 17, 2026

Question #1

You have millions of customer feedback records stored in BigQuery. You want to summarize the data by using the large language model (LLM) Gemini. You need to plan and execute this analysis using the most efficient approach. What should you do?

A. Use a BigQuery ML model to pre-process the text data, export the results to Cloud Storage, and use the Gemini API to summarize the pre- processed data.

B. Export the raw BigQuery data to a CSV file, upload it to Cloud Storage, and use the Gemini API to summarize the data.

C. Query the BigQuery table from within a Python notebook, use the Gemini API to summarize the data within the notebook, and store the summaries in BigQuery.

D. Create a BigQuery Cloud resource connection to a remote model in Vertex Al, and use Gemini to summarize the data.

Discussion 0

Correct Answer: D Vote an answer

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Question #2

Your organization needs to store historical customer order data. 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?

A. Store the data in Cloud Storage using Archive storage.

B. Store the data in Cloud Storaqe usinq Nearline storaqe.

C. Store the data in Cloud Storaqe usinq Coldline storaqe.

D. Store the data in Cloud Storage using Standard storage.

Discussion 0

Correct Answer: B Vote an answer

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Question #3

Your retail company collects customer data from various sources:
* Online transactions: Stored in a MySQL database
* Customer feedback: Stored as text files on a company server
* Social media activity: Streamed in real-time from social media platforms
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?

A. 1. Online transactions: Bigtable
2. Customer feedback: Cloud Storage
3. Social media activity: CloudSQL for MySQL

B. 1. Online transactions: Cloud SQL for MySQL
2. Customer feedback: BigQuery
3. Social media activity: Cloud Storage

C. 1. Online transactions: Cloud Storage
2. Customer feedback: Cloud Storage
3. Social media activity: Cloud Storage

D. 1. Online transactions: BigQuery
2. Customer feedback: Cloud Storage
3. Social media activity: BigQuery

Discussion 0

Correct Answer: D Vote an answer

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Question #4

You are building a batch data pipeline to process 100 GB of structured data from multiple sources for daily reporting. You need to transform and standardize the data prior to loading the data to ensure that it is stored in a single dataset. You want to use a low-code solution that can be easily built and managed. What should you do?

A. Use Cloud Data Fusion to ingest the data, perform data cleaning and transformation, and load the data into Cloud SQL for PostgreSQL.

B. Use Cloud Data Fusion to ingest data and load the data into BigQuery. Use Looker Studio to perform data cleaning and transformation.

C. Use Cloud Data Fusion to ingest the data, perform data cleaning and transformation, and load the data into BigQuery.

D. Use Cloud Storage to store the data. Use Cloud Run functions to perform data cleaning and transformation, and load the data into BigQuery.

Discussion 0

Correct Answer: C Vote an answer

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Question #5

Your team wants to create a monthly report to analyze inventory data that is updated daily. You need to aggregate the inventory counts by using only the most recent month of data, and save the results to be used in a Looker Studio dashboard. What should you do?

A. Create a saved query in the BigQuery console that uses the SUM( ) function and the DATE_SUB( ) function. Re-run the saved query every month, and save the results to a BigQuery table.

B. Create a BigQuery table that uses the SUM( ) function and the _PARTITIONDATE filter.

C. Create a materialized view in BigQuery that uses the SUM( ) function and the DATE_SUB( ) function.

D. Create a BigQuery table that uses the SUM( ) function and the DATE_DIFF( ) function.

Discussion 0

Correct Answer: C Vote an answer

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Question #6

You are working with a small dataset in Cloud Storage that needs to be transformed and loaded into BigQuery for analysis. The transformation involves simple filtering and aggregation operations. You want to use the most efficient and cost-effective data manipulation approach. What should you do?

A. Use BigQuery's SQL capabilities to load the data from Cloud Storage, transform it, and store the results in a new BigQuery table.

B. Use Dataproc to create an Apache Hadoop cluster, perform the ETL process using Apache Spark, and load the results into BigQuery.

C. Create a Cloud Data Fusion instance and visually design an ETL pipeline that reads data from Cloud Storage, transforms it using built-in transformations, and loads the results into BigQuery.

D. Use Dataflow to perform the ETL process that reads the data from Cloud Storage, transforms it using Apache Beam, and writes the results to BigQuery.

Discussion 0

Correct Answer: A Vote an answer

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Question #7

You work for a financial services company that handles highly sensitive data. Due to regulatory requirements, your company is required to have complete and manual control of data encryption. Which type of keys should you recommend to use for data storage?

A. Use a dedicated third-party key management system (KMS) chosen by the company.

B. Use Google-managed encryption keys (GMEK).

C. Use customer-supplied encryption keys (CSEK).

D. Use customer-managed encryption keys (CMEK).

Discussion 0

Correct Answer: C Vote an answer

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Question #8

You are designing an application that will interact with several BigQuery datasets. You need to grant the application's service account permissions that allow it to query and update tables within the datasets, and list all datasets in a project within your application. You want to follow the principle of least privilege. Which pre- defined IAM role(s) should you apply to the service account?

A. roles/bigquery.jobUser and roles/bigquery.dataOwner

B. roles/bigquery.user and roles/bigquery.filteredDataViewer

C. roles/bigquery.connectionUser and roles/bigquery.dataViewer

D. roles/bigquery.admin

Discussion 0

Correct Answer: A Vote an answer

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Question #9

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?

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

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

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

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

Discussion 0

Correct Answer: A Vote an answer

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