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

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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: ovie
Question 16

You work for an online retail company. Your company collects customer purchase data in CSV files and pushes them to Cloud Storage every 10 minutes. The data needs to be transformed and loaded into BigQuery for analysis. The transformation involves cleaning the data, removing duplicates, and enriching it with product information from a separate table in BigQuery. You need to implement a low-overhead solution that initiates data processing as soon as the files are loaded into Cloud Storage. What should you do?

Options:

A.

Use Cloud Composer sensors to detect files loading in Cloud Storage. Create a Dataproc cluster, and use a Composer task to execute a job on the cluster to process and load the data into BigQuery.

B.

Schedule a direct acyclic graph (DAG) in Cloud Composer to run hourly to batch load the data from Cloud Storage to BigQuery, and process the data in BigQuery using SQL.

C.

Use Dataflow to implement a streaming pipeline using anOBJECT_FINALIZEnotification from Pub/Sub to read the data from Cloud Storage, perform the transformations, and write the data to BigQuery.

D.

Create a Cloud Data Fusion job to process and load the data from Cloud Storage into BigQuery. Create anOBJECT_FINALIZE notification in Pub/Sub, and trigger a Cloud Run function to start the Cloud Data Fusion job as soon as new files are loaded.

Discussion
Question 17

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?

Options:

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).

Discussion
Question 18

You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?

Options:

A.

Use the bq command-line tool within a Cloud Shell instance to load the data into BigQuery.

B.

Create a Cloud Composer pipeline to load new files from Cloud Storage to BigQuery and schedule it to run every 10 minutes.

C.

Create a Cloud Run function to load the data into BigQuery that is triggered when data arrives in Cloud Storage.

D.

Create a Dataproc cluster to pull CSV files from Cloud Storage, process them using Spark, and write the results to BigQuery.

Discussion
Question 19

Your organization’s ecommerce website collects user activity logs using a Pub/Sub topic. Your organization’s leadership team wants a dashboard that contains aggregated user engagement metrics. You need to create a solution that transforms the user activity logs into aggregated metrics, while ensuring that the raw data can be easily queried. What should you do?

Options:

A.

Create a Dataflow subscription to the Pub/Sub topic, and transform the activity logs. Load the transformed data into a BigQuery table for reporting.

B.

Create an event-driven Cloud Run function to trigger a data transformation pipeline to run. Load the transformed activity logs into a BigQuery table for reporting.

C.

Create a Cloud Storage subscription to the Pub/Sub topic. Load the activity logs into a bucket using the Avro file format. Use Dataflow to transform the data, and load it into a BigQuery table for reporting.

D.

Create a BigQuery subscription to the Pub/Sub topic, and load the activity logs into the table. Create a materialized view in BigQuery using SQL to transform the data for reporting

Discussion
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