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Google Associate-Data-Practitioner Dumps Questions Answers

Exam Code:
Associate-Data-Practitioner
Last Update: Feb 15, 2025
72 Questions Answers with Explanation Detail
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Associate-Data-Practitioner Q&A's Detail

Exam Code:
Associate-Data-Practitioner
Total Questions:
72 Q&A's
Single Choice Questions:
72 Q&A's

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

Questions 1

You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:

1. Audio files from phone interactions with support agents that will be accessed during trainings.

2. CSV files of users’ personally identifiable information (Pll) that will be analyzed with SQL.

3. A large volume of small document files that will power other applications.

You need to select the appropriate tool for each data type given the required use case, while following Google-recommended practices. Which should you choose?

Options:

A.

1. Cloud Storage

2. CloudSQL for PostgreSQL

3. Bigtable

B.

1. Filestore

2. Cloud SQL for PostgreSQL

3. Datastore

C.

1. Cloud Storage

2. BigQuery

3. Firestore

D.

1. Filestore

2. Bigtable

3. BigQuery

Questions 2

Your organization uses a BigQuery table that is partitioned by ingestion time. You need to remove data that is older than one year to reduce your organization’s storage costs. You want to use the most efficient approach while minimizing cost. What should you do?

Options:

A.

Create a scheduled query that periodically runs an update statement in SQL that sets the “deleted" column to “yes” for data that is more than one year old. Create a view that filters out rows that have been marked deleted.

B.

Create a view that filters out rows that are older than one year.

C.

Require users to specify a partition filter using the alter table statement in SQL.

D.

Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.

Questions 3

Your team needs to analyze large datasets stored in BigQuery to identify trends in user behavior. The analysis will involve complex statistical calculations, Python packages, and visualizations. You need to recommend a managed collaborative environment to develop and share the analysis. What should you recommend?

Options:

A.

Create a Colab Enterprise notebook and connect the notebook to BigQuery. Share the notebook with your team. Analyze the data and generate visualizations in Colab Enterprise.

B.

Create a statistical model by using BigQuery ML. Share the query with your team. Analyze the data and generate visualizations in Looker Studio.

C.

Create a Looker Studio dashboard and connect the dashboard to BigQuery. Share the dashboard with your team. Analyze the data and generate visualizations in Looker Studio.

D.

Connect Google Sheets to BigQuery by using Connected Sheets. Share the Google Sheet with your team. Analyze the data and generate visualizations in Gooqle Sheets.

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