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Google Associate-Data-Practitioner Exam Dumps Questions and Answers

Exam Code: Associate-Data-Practitioner
Certification: Google Cloud Platform
Vendor: Google
Last Update: Feb 5, 2025
Questions: 72 With Expert Explanation
10  Customers Passed Google Associate-Data-Practitioner
95%  Average Success In Real Exam
91%  Questions came word by word from this dump
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Google Cloud Associate Data Practitioner ( ADP Exam ) Questions and Answers

Questions 1

You manage a large amount of data in Cloud Storage, including raw data, processed data, and backups. Your organization is subject to strict compliance regulations that mandate data immutability for specific data types. You want to use an efficient process to reduce storage costs while ensuring that your storage strategy meets retention requirements. What should you do?

Options:

A.

Configure lifecycle management rules to transition objects to appropriate storage classes based on access patterns. Set up Object Versioning for all objects to meet immutability requirements.

B.

Move objects to different storage classes based on their age and access patterns. Use Cloud Key Management Service (Cloud KMS) to encrypt specific objects with customer-managed encryption keys (CMEK) to meet immutability requirements.

C.

Create a Cloud Run function to periodically check object metadata, and move objects to the appropriate storage class based on age and access patterns. Use object holds to enforce immutability for specific objects.

D.

Use object holds to enforce immutability for specific objects, and configure lifecycle management rules to transition objects to appropriate storage classes based on age and access patterns.

Questions 2

You are working on a data pipeline that will validate and clean incoming data before loading it into BigQuery for real-time analysis. You want to ensure that the data validation and cleaning is performed efficiently and can handle high volumes of data. What should you do?

Options:

A.

Write custom scripts in Python to validate and clean the data outside of Google Cloud. Load the cleaned data into BigQuery.

B.

Use Cloud Run functions to trigger data validation and cleaning routines when new data arrives in Cloud Storage.

C.

Use Dataflow to create a streaming pipeline that includes validation and transformation steps.

D.

Load the raw data into BigQuery using Cloud Storage as a staging area, and use SQL queries in BigQuery to validate and clean the data.

Questions 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.