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Google Associate Data Practitioner (Associate Data Practitioner) - Google Cloud Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
106 Total Questions
1
Question
You work for a financial services company that handles highly sensitive dat
Options
A Use customer-supplied encryption keys (CSEK).
B Use Google-managed encryption keys (GMEK).
C Use a dedicated third-party key management system (KMS) chosen by the company.
D Use customer-managed encryption keys (CMEK).
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2
Question
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?
Options
A Use Cloud Storage to store the data. Use Cloud Run functions to perform data cleaning and transformation, and load the data into BigQuery.
B Use Cloud Data Fusion to ingest the data, perform data cleaning and transformation, and load the data into Cloud SQL for PostgreSQL.
C Use Cloud Data Fusion to ingest data and load the data into BigQuery. Use Looker Studio to perform data cleaning and transformation.
D Use Cloud Data Fusion to ingest the data, perform data cleaning and transformation, and load the data into BigQuery.
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3
Question
You manage a Cloud Storage bucket that stores temporary files created during data processing. These temporary files are only needed for seven days, after which they are no longer needed. To reduce storage costs and keep your bucket organized, you want to automatically delete these files once they are older than seven days. What should you do?
Options
A Develop a batch process using Dataflow that runs weekly and deletes files based on their age.
B Set up a Cloud Scheduler job that invokes a weekly Cloud Run function to delete files older than seven days.
C Configure a Cloud Storage lifecycle rule that automatically deletes objects older than seven days.
D Create a Cloud Run function that runs daily and deletes files older than seven days.
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4
Question
Your company’s ecommerce website collects product reviews from customers. The reviews are loaded as CSV files daily to a Cloud Storage bucket. The reviews are in multiple languages and need to be translated to Spanish. You need to configure a pipeline that is serverless, efficient, and requires minimal maintenance. What should you do?
Options
A Load the data into BigQuery using a Cloud Run function. Create a BigQuery remote function that invokes the Cloud Translation API. Use a scheduled query to translate new reviews.
B Load the data into BigQuery using Dataproc. Use Apache Spark to translate the reviews by invoking the Cloud Translation API. Set BigQuery as the sink.U
C Use a Dataflow templates pipeline to translate the reviews using the Cloud Translation API. Set BigQuery as the sink.
D Load the data into BigQuery using a Cloud Run function. Use the BigQuery ML create model statement to train a translation model. Use the model to translate the product reviews within BigQuery.
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5
Question
You are working on a project that requires analyzing daily social media dat
Options
A Use Cloud Data Fusion to transfer the data into BigQuery raw tables, and use SQL to transform it.
B Manually download the data from Cloud Storage. Use a Python script to transform and upload the data into BigQuery.
C Use Dataflow to transform the data and write the transformed data to BigQuery.
D Use Cloud Run functions to transform and load the data into BigQuery.
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