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Google Updated Associate-Data-Practitioner Exam Questions and Answers by norah

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Google Associate-Data-Practitioner Exam Overview :

Exam Name: Google Cloud Associate Data Practitioner (ADP Exam)
Exam Code: Associate-Data-Practitioner Dumps
Vendor: Google Certification: Google Cloud Platform
Questions: 106 Q&A's Shared By: norah
Question 20

You have created a LookML model and dashboard that shows daily sales metrics for five regional managers to use. You want to ensure that the regional managers can only see sales metrics specific to their region. You need an easy-to-implement solution. What should you do?

Options:

A.

Create asales_regionuser attribute, and assign each manager’s region as the value of their user attribute. Add anaccess_filterExplore filter on theregion_namedimension by using thesales_regionuser attribute.

B.

Create five different Explores with thesql_always_filterExplore filter applied on theregion_namedimension. Set eachregion_namevalue to the corresponding region for each manager.

C.

Create separate Looker dashboards for each regional manager. Set the default dashboard filter to the corresponding region for each manager.

D.

Create separate Looker instances for each regional manager. Copy the LookML model and dashboard to each instance. Provision viewer access to the corresponding manager.

Discussion
Question 21

You have millions of customer feedback records stored in BigQuery. You want to summarize the data by using the large language model (LLM) Gemini. You need to plan and execute this analysis using the most efficient approach. What should you do?

Options:

A.

Query the BigQuery table from within a Python notebook, use the Gemini API to summarize the data within the notebook, and store the summaries in BigQuery.

B.

Use a BigQuery ML model to pre-process the text data, export the results to Cloud Storage, and use the Gemini API to summarize the pre- processed data.

C.

Create a BigQuery Cloud resource connection to a remote model in Vertex Al, and use Gemini to summarize the data.

D.

Export the raw BigQuery data to a CSV file, upload it to Cloud Storage, and use the Gemini API to summarize the data.

Discussion
Question 22

Your organization’s business analysts require near real-time access to streaming data. However, they are reporting that their dashboard queries are loading slowly. After investigating BigQuery query performance, you discover the slow dashboard queries perform several joins and aggregations.

You need to improve the dashboard loading time and ensure that the dashboard data is as up-to-date as possible. What should you do?

Options:

A.

Disable BiqQuery query result caching.

B.

Modify the schema to use parameterized data types.

C.

Create a scheduled query to calculate and store intermediate results.

D.

Create materialized views.

Discussion
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Question 23

You are designing an application that will interact with several BigQuery datasets. You need to grant the application’s service account permissions that allow it to query and update tables within the datasets, and list all datasets in a project within your application. You want to follow the principle of least privilege. Which pre-defined IAM role(s) should you apply to the service account?

Options:

A.

roles/bigquery.jobUser and roles/bigquery.dataOwner

B.

roles/bigquery.connectionUser and roles/bigquery.dataViewer

C.

roles/bigquery.admin

D.

roles/bigquery.user and roles/bigquery.filteredDataViewer

Discussion
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