Newest Google Associate-Data-Practitioner Practice Questions at Zero Cost

Get a glimpse of the real Associate-Data-Practitioner certification exam challenges with our free Google Associate-Data-Practitioner practice test questions.

Question 1

You are predicting customer churn for a subscription-based service. You have a 50 PB historical customer dataset in BigQuery that includes demographics, subscription information, and engagement metrics. You want to build a churn prediction model with minimal overhead. You want to follow the Google-recommended approach. What should you do?

AExport the data from BigQuery to a local machine. Use scikit-learn in a Jupyter notebook to build the churn prediction model.

BUse Dataproc to create a Spark cluster. Use the Spark MLlib within the cluster to build the churn prediction model.

CCreate a Looker dashboard that is connected to BigQuery. Use LookML to predict churn.

DUse the BigQuery Python client library in a Jupyter notebook to query and preprocess the data in BigQuery. Use the CREATE MODEL statement in BigQueryML to train the churn prediction model.

Correct Answer: 1

Question 2

Your company uses Looker to generate and share reports with various stakeholders. You have a complex dashboard with several visualizations that needs to be delivered to specific stakeholders on a recurring basis, with customized filters applied for each recipient. You need an efficient and scalable solution to automate the delivery of this customized dashboard. You want to follow the Google-recommended approach. What should you do?

ACreate a separate LookML model for each stakeholder with predefined filters, and schedule the dashboards using the Looker Scheduler.

BCreate a script using the Looker Python SDK, and configure user attribute filter values. Generate a new scheduled plan for each stakeholder.

CEmbed the Looker dashboard in a custom web application, and use the application's scheduling features to send the report with personalized filters.

DUse the Looker Scheduler with a user attribute filter on the dashboard, and send the dashboard with personalized filters to each stakeholder based on their attributes.

Correct Answer: 2

Question 3

Your organization uses Dataflow pipelines to process real-time financial transactions. You discover that one of your Dataflow jobs has failed. You need to troubleshoot the issue as quickly as possible. What should you do?

ASet up a Cloud Monitoring dashboard to track key Dataflow metrics, such as data throughput, error rates, and resource utilization.

BCreate a custom script to periodically poll the Dataflow API for job status updates, and send email alerts if any errors are identified.

CNavigate to the Dataflow Jobs page in the Google Cloud console. Use the job logs and worker logs to identify the error.

DUse the gcloud CLI tool to retrieve job metrics and logs, and analyze them for errors and performance bottlenecks.

Correct Answer: 3

Question 4

You are using your own data to demonstrate the capabilities of BigQuery to your organization's leadership team. You need to perform a one- time load of the files stored on your local machine into BigQuery using as little effort as possible. What should you do?

AWrite and execute a Python script using the BigQuery Storage Write API library.

BCreate a Dataproc cluster, copy the files to Cloud Storage, and write an Apache Spark job using the spark-bigquery-connector.

CExecute the bq load command on your local machine.

DCreate a Dataflow job using the Apache Beam FileIO and BigQueryIO connectors with a local runner.

Correct Answer: 4

Question 5

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?

AConfigure the buckets to use the Archive storage class.

BConfigure a lifecycle management policy on each bucket to downgrade the storage class and remove objects based on age.

CConfigure the buckets to use the Standard storage class and enable Object Versioning.

DConfigure the buckets to use the Autoclass feature.

Correct Answer: 5

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