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Associate-Data-Practitioner PDF

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  • Questions: 72 Q&A's With Detailed Explanation
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  • Exam Name: Google Cloud Associate Data Practitioner ( ADP Exam )
  • Last Update: 15-Feb-2025
  • Questions and Answers: 72
  • Single Choice: 72 Q&A's

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Associate-Data-Practitioner Questions and Answers

Question # 1

You work for a home insurance company. You are frequently asked to create and save risk reports with charts for specific areas using a publicly available storm event dataset. You want to be able to quickly create and re-run risk reports when new data becomes available. What should you do?

A.

Export the storm event dataset as a CSV file. Import the file to Google Sheets, and use cell data in the worksheets to create charts.

B.

Copy the storm event dataset into your BigQuery project. Use BigQuery Studio to query and visualize the data in Looker Studio.

C.

Reference and query the storm event dataset using SQL in BigQuery Studio. Export the results to Google Sheets, and use cell data in the worksheets to create charts.

D.

Reference and query the storm event dataset using SQL in a Colab Enterprise notebook. Display the table results and document with Markdown, and use Matplotlib to create charts.

Question # 2

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?

A.

Set up a Cloud Scheduler job that invokes a weekly Cloud Run function to delete files older than seven days.

B.

Configure a Cloud Storage lifecycle rule that automatically deletes objects older than seven days.

C.

Develop a batch process using Dataflow that runs weekly and deletes files based on their age.

D.

Create a Cloud Run function that runs daily and deletes files older than seven days.

Question # 3

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?

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.

Question # 4

You have a Dataflow pipeline that processes website traffic logs stored in Cloud Storage and writes the processed data to BigQuery. You noticed that the pipeline is failing intermittently. You need to troubleshoot the issue. What should you do?

A.

Use Cloud Logging to identify error groups in the pipeline's logs. Use Cloud Monitoring to create a dashboard that tracks the number of errors in each group.

B.

Use Cloud Logging to create a chart displaying the pipeline’s error logs. Use Metrics Explorer to validate the findings from the chart.

C.

Use Cloud Logging to view error messages in the pipeline's logs. Use Cloud Monitoring to analyze the pipeline's metrics, such as CPU utilization and memory usage.

D.

Use the Dataflow job monitoring interface to check the pipeline's status every hour. Use Cloud Profiler to analyze the pipeline’s metrics, such as CPU utilization and memory usage.

Question # 5

You manage a BigQuery table that is used for critical end-of-month reports. The table is updated weekly with new sales data. You want to prevent data loss and reporting issues if the table is accidentally deleted. What should you do?

A.

Configure the time travel duration on the table to be exactly seven days. On deletion, re-create the deleted table solely from the time travel data.

B.

Schedule the creation of a new snapshot of the table once a week. On deletion, re-create the deleted table using the snapshot and time travel data.

C.

Create a clone of the table. On deletion, re-create the deleted table by copying the content of the clone.

D.

Create a view of the table. On deletion, re-create the deleted table from the view and time travel data.

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