최신 Associate-Data-Practitioner 무료덤프 - Google Cloud Associate Data Practitioner

문제1

Your company has an on-premises file server with 5 TB of data that needs to be migrated to Google Cloud.
The network operations team has mandated that you can only use up to 250 Mbps of the total available bandwidth for the migration. You need to perform an online migration to Cloud Storage. What should you do?

A. Use the gcloud storage cp command to copy all files from on-premises to Cloud Storage using the --no- clobber option.

B. Use the gcloud storage cp command to copy all files from on-premises to Cloud Storage using the -- daisy-chain option.

C. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.

D. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제2

You manage a web application that stores data in a Cloud SQL database. You need to improve the read performance of the application by offloading read traffic from the primary database instance. You want to implement a solution that minimizes effort and cost. What should you do?

A. Store frequently accessed data in a Memorystore instance.

B. Use Cloud CDN to cache frequently accessed data.

C. Enable automatic backups, and create a read replica of the Cloud SQL instance.

D. Migrate the database to a larger Cloud SQL instance.

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제3

Your retail company wants to analyze customer reviews to understand sentiment and identify areas for improvement. Your company has a large dataset of customer feedback text stored in BigQuery that includes diverse language patterns, emojis, and slang. You want to build a solution to classify customer sentiment from the feedback text. What should you do?

A. Preprocess the text data in BigQuery using SQL functions. Export the processed data to AutoML Natural Language for model training and deployment.

B. Export the raw data from BigQuery. Use AutoML Natural Language to train a custom sentiment analysis model.

C. Use Dataproc to create a Spark cluster, perform text preprocessing using Spark NLP, and build a sentiment analysis model with Spark MLlib.

D. Develop a custom sentiment analysis model using TensorFlow. Deploy it on a Compute Engine instance.

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제4

You have a BigQuery dataset containing sales data. This data is actively queried for the first 6 months. After that, the data is not queried but needs to be retained for 3 years for compliance reasons. You need to implement a data management strategy that meets access and compliance requirements, while keeping cost and administrative overhead to a minimum. What should you do?

A. Set up a scheduled query to export the data to Cloud Storage after 6 months. Write a stored procedure to delete the data from BigQuery after 3 years.

B. Use BigQuery long-term storage for the entire dataset. Set up a Cloud Run function to delete the data from BigQuery after 3 years.

C. Store all data in a single BigQuery table without partitioning or lifecycle policies.

D. Partition a BigQuery table by month. After 6 months, export the data to Coldline storage. Implement a lifecycle policy to delete the data from Cloud Storage after 3 years.

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제5

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?

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

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

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

D. Use 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.

정답: D

설명: (DumpTOP 회원만 볼 수 있음)

문제6

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?

A. roles/bigquery.admin

B. roles/bigquery.user and roles/bigquery.filteredDataViewer

C. roles/bigquery.jobUser and roles/bigquery.dataOwner

D. roles/bigquery.connectionUser and roles/bigquery.dataViewer

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제7

Your data science team needs to collaboratively analyze a 25 TB BigQuery dataset to support the development of a machine learning model. You want to use Colab Enterprise notebooks while ensuring efficient data access and minimizing cost. What should you do?

A. Use BigQuery magic commands within a Colab Enterprise notebook to query and analyze the data.

B. Create a Dataproc cluster connected to a Colab Enterprise notebook, and use Spark to process the data in BigQuery.

C. Copy the BigQuery dataset to the local storage of the Colab Enterprise runtime, and analyze the data using Pandas.

D. Export the BigQuery dataset to Google Drive. Load the dataset into the Colab Enterprise notebook using Pandas.

정답: A

설명: (DumpTOP 회원만 볼 수 있음)

문제8

Your company is building a near real-time streaming pipeline to process JSON telemetry data from small appliances. You need to process messages arriving at a Pub/Sub topic, capitalize letters in the serial number field, and write results to BigQuery. You want to use a managed service and write a minimal amount of code for underlying transformations. What should you do?

A. Use a Pub/Sub to Cloud Storage subscription, write a Cloud Run service that is triggered when objects arrive in the bucket, performs the transformations, and writes the results to BigQuery.

B. Use a Pub/Sub to BigQuery subscription, write results directly to BigQuery, and schedule a transformation query to run every five minutes.

C. Use the "Pub/Sub to BigQuery" Dataflow template with a UDF, and write the results to BigQuery.

D. Use a Pub/Sub push subscription, write a Cloud Run service that accepts the messages, performs the transformations, and writes the results to BigQuery.

정답: C

설명: (DumpTOP 회원만 볼 수 있음)

문제9

You are storing data in Cloud Storage for a machine learning project. The data is frequently accessed during the model training phase, minimally accessed after 30 days, and unlikely to be accessed after 90 days. You need to choose the appropriate storage class for the different stages of the project to minimize cost. What should you do?

A. Store the data in Nearline storage during the model training phase. Transition the data to Coldline storage 30 days after model deployment, and to Archive storage 90 days after model deployment.

B. Store the data in Standard storage during the model training phase. Transition the data to Nearline storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

C. Store the data in Standard storage during the model training phase. Transition the data to Durable Reduced Availability (DRA) storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

D. Store the data in Nearline storage during the model training phase. Transition the data to Archive storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

정답: B

설명: (DumpTOP 회원만 볼 수 있음)

문제10

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?

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

B. Configure the buckets to use the Archive storage class.

C. Configure the buckets to use the Autoclass feature.

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

정답: A

설명: (DumpTOP 회원만 볼 수 있음)

최신 Associate-Data-Practitioner 무료덤프 - Google Cloud Associate Data Practitioner

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