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Associate-Data-Practitioner Dumps - Google Cloud Associate Data Practitioner (ADP Exam) Practice Exam Questions

Google Associate-Data-Practitioner - Google Cloud Associate Data Practitioner (ADP Exam) Braindumps

Google Associate-Data-Practitioner - Google Cloud Platform Practice Exam

  • Certification Provider:Google
  • Exam Code:Associate-Data-Practitioner
  • Exam Name:Google Cloud Associate Data Practitioner (ADP Exam) Exam
  • Total Questions:106 Questions and Answers
  • Updated on:Mar 26, 2025
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Associate-Data-Practitioner Question and Answers

Question # 1

You are a database administrator managing sales transaction data by region stored in a BigQuery table. You need to ensure that each sales representative can only see the transactions in their region. What should you do?

Options:

A.  

Add a policy tag in BigQuery.

B.  

Create a row-level access policy.

C.  

Create a data masking rule.

D.  

Grant the appropriate 1AM permissions on the dataset.

Discussion 0
Question # 2

You are a data analyst at your organization. You have been given a BigQuery dataset that includes customer information. The dataset contains inconsistencies and errors, such as missing values, duplicates, and formatting issues. You need to effectively and quickly clean the data. What should you do?

Options:

A.  

Develop a Dataflow pipeline to read the data from BigQuery, perform data quality rules and transformations, and write the cleaned data back to BigQuery.

B.  

Use Cloud Data Fusion to create a data pipeline to read the data from BigQuery, perform data quality transformations, and write the clean data back to BigQuery.

C.  

Export the data from BigQuery to CSV files. Resolve the errors using a spreadsheet editor, and re-import the cleaned data into BigQuery.

D.  

Use BigQuery's built-in functions to perform data quality transformations.

Discussion 0
Question # 3

You are storing data in Cloud Storage for a machine learning project. The data is frequently accessed during the model training phase, minimally accessed after 30 days, and unlikely to be accessed after 90 days. You need to choose the appropriate storage class for the different stages of the project to minimize cost. What should you do?

Options:

A.  

Store the data in Nearline storage during the model training phase. Transition the data to Coldline storage 30 days after model deployment, and to Archive storage 90 days after model deployment.

B.  

Store the data in Standard storage during the model training phase. Transition the data to Nearline storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

C.  

Store the data in Nearline storage during the model training phase. Transition the data to Archive storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

D.  

Store the data in Standard storage during the model training phase. Transition the data to Durable Reduced Availability (DRA) storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

Discussion 0

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