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Google Associate-Data-Practitioner Exam With Confidence Using Practice Dumps

Exam Code:
Associate-Data-Practitioner
Exam Name:
Google Cloud Associate Data Practitioner (ADP Exam)
Certification:
Google Cloud Platform
Vendor:
Google
Questions:
106
Last Updated:
Jun 3, 2025
Exam Status:
Stable
Google Associate-Data-Practitioner

Associate-Data-Practitioner: Google Cloud Platform Exam 2025 Study Guide Pdf and Test Engine

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Google Cloud Associate Data Practitioner (ADP Exam) Questions and Answers

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Question 1

Your organization uses scheduled queries to perform transformations on data stored in BigQuery. You discover that one of your scheduled queries has failed. You need to troubleshoot the issue as quickly as possible. What should you do?

Options:

A.

Navigate to the Logs Explorer page in Cloud Logging. Use filters to find the failed job, and analyze the error details.

B.

Set up a log sink using the gcloud CLI to export BigQuery audit logs to BigQuery. Query those logs to identify the error associated with the failed job ID.

C.

Request access from your admin to the BigQuery information_schema. Query the jobs view with the failed job ID, and analyze error details.

D.

Navigate to the Scheduled queries page in the Google Cloud console. Select the failed job, and analyze the error details.

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Question 2

You are designing a pipeline to process data files that arrive in Cloud Storage by 3:00 am each day. Data processing is performed in stages, where the output of one stage becomes the input of the next. Each stage takes a long time to run. Occasionally a stage fails, and you have to address

the problem. You need to ensure that the final output is generated as quickly as possible. What should you do?

Options:

A.

Design a Spark program that runs under Dataproc. Code the program to wait for user input when an error is detected. Rerun the last action after correcting any stage output data errors.

B.

Design the pipeline as a set of PTransforms in Dataflow. Restart the pipeline after correcting any stage output data errors.

C.

Design the workflow as a Cloud Workflow instance. Code the workflow to jump to a given stage based on an input parameter. Rerun the workflow after correcting any stage output data errors.

D.

Design the processing as a directed acyclic graph (DAG) in Cloud Composer. Clear the state of the failed task after correcting any stage output data errors.

Question 3

You are responsible for managing Cloud Storage buckets for a research company. Your company has well-defined data tiering and retention rules. You need to optimize storage costs while achieving your data retention needs. What should you do?

Options:

A.

Configure the buckets to use the Archive storage class.

B.

Configure a lifecycle management policy on each bucket to downgrade the storage class and remove objects based on age.

C.

Configure the buckets to use the Standard storage class and enable Object Versioning.

D.

Configure the buckets to use the Autoclass feature.

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