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Google Associate Data Practitioner Sample Questions (Q43-Q48):

NEW QUESTION # 43
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?

A. Create asales_regionuser attribute, and assign each manager's region as the value of their user 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. Add anaccess_filterExplore filter on theregion_namedimension by using thesales_regionuser attribute.
D. Create separate Looker dashboards for each regional manager. Set the default dashboard filter to the corresponding region for each manager.

Answer: A

NEW QUESTION # 44
You created a curated dataset of market trends in BigQuery that you want to share with multiple external partners. You want to control the rows and columns that each partner has access to. You want to follow Google-recommended practices. What should you do?

A. Create a separate Cloud Storage bucket for each partner. Export the dataset to each bucket and assign each partner to their respective bucket. Grant bucket-level access by using 1AM roles.
B. Publish the dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
C. Create a separate project for each partner and copy the dataset into each project. Publish each dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
D. Grant each partner read access to the BigQuery dataset by using 1AM roles.

Answer: B

NEW QUESTION # 45
You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?

A. Use Dataflow to transform the data and write the transformed data to BigQuery.
B. Use Cloud Run functions to transform and load the data into BigQuery.
C. Manually download the data from Cloud Storage. Use a Python script to transform and upload the data into BigQuery.
D. Use Cloud Data Fusion to transfer the data into BigQuery raw tables, and use SQL to transform it.

Answer: A

NEW QUESTION # 46
Your company's customer support audio files are stored in a Cloud Storage bucket. You plan to analyze the audio files' metadata and file content within BigQuery to create inference by using BigQuery ML. You need to create a corresponding table in BigQuery that represents the bucket containing the audio files. What should you do?

A. Create a native table.
B. Create a temporary table.
C. Create an external table.
D. Create an object table.

Answer: D

NEW QUESTION # 47
You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

A. Enable access control by using IAM roles.
B. Update dataset privileges by using the SQL GRANT statement.
C. Export the data to Cloud Storage, and use signed URLs to authorize access.
D. Encrypt the data by using customer-managed encryption keys (CMEK).

Answer: A

NEW QUESTION # 48
......

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Accurate ADP Test & ADP Dumps Torrent

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Google Accurate ADP Test & Associate Data Practitioner Realistic Dumps Torrent

Google Associate Data Practitioner Sample Questions (Q43-Q48):

Trustable Accurate ADP Test & Leading Offer in Qualification Exams & Latest updated ADP: Associate Data Practitioner

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