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Google Cloud Associate Data Practitioner (ADP Exam)

Last Update 6 days ago
Total Questions : 106

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Question # 1

Your organization uses scheduled queries to perform transformations on data stored in BigQuery. You discover that one of your scheduled queries has failed. You need to troubleshoot the issue as quickly as possible. What should you do?

Options:

A.  

Navigate to the Logs Explorer page in Cloud Logging. Use filters to find the failed job, and analyze the error details.

B.  

Set up a log sink using the gcloud CLI to export BigQuery audit logs to BigQuery. Query those logs to identify the error associated with the failed job I

D.  

C.  

Request access from your admin to the BigQuery information_schema. Query the jobs view with the failed job ID, and analyze error details.

D.  

Navigate to the Scheduled queries page in the Google Cloud console. Select the failed job, and analyze the error details.

Discussion 0
Question # 2

You are designing a BigQuery data warehouse with a team of experienced SQL developers. You need to recommend a cost-effective, fully-managed, serverless solution to build ELT processes with SQL pipelines. Your solution must include source code control, environment parameterization, and data quality checks. What should you do?

Options:

A.  

Use Cloud Data Fusion to visually design and manage the pipelines.

B.  

Use Dataform to build, orchestrate, and monitor the pipelines.

C.  

Use Dataproc to run MapReduce jobs for distributed data processing.

D.  

Use Cloud Composer to orchestrate and run data workflows.

Discussion 0
Question # 3

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?

Options:

A.  

Configure the buckets to use the Archive storage class.

B.  

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

C.  

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

D.  

Configure the buckets to use the Autoclass feature.

Discussion 0
Question # 4

You need to create a data pipeline for a new application. Your application will stream data that needs to be enriched and cleaned. Eventually, the data will be used to train machine learning models. You need to determine the appropriate data manipulation methodology and which Google Cloud services to use in this pipeline. What should you choose?

Options:

A.  

ETL; Dataflow -> BigQuery

B.  

ETL; Cloud Data Fusion -> Cloud Storage

C.  

ELT; Cloud Storage -> Bigtable

D.  

ELT; Cloud SQL -> Analytics Hub

Discussion 0
Question # 5

You used BigQuery ML to build a customer purchase propensity model six months ago. You want to compare the current serving data with the historical serving data to determine whether you need to retrain the model. What should you do?

Options:

A.  

Compare the two different models.

B.  

Evaluate the data skewness.

C.  

Evaluate data drift.

D.  

Compare the confusion matrix.

Discussion 0
Question # 6

Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability. What should you do?

Options:

A.  

Create a dual-region bucket, and upload the files to this bucket.

B.  

Create a single-region bucket in each of the two regions, and use the gcloud storage command to replicate the data across the buckets in both regions.

C.  

Create a multi-region bucket, and upload the files to this bucket.

D.  

Create a single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.

Discussion 0
Question # 7

Your company is migrating their batch transformation pipelines to Google Cloud. You need to choose a solution that supports programmatic transformations using only SQL. You also want the technology to support Git integration for version control of your pipelines. What should you do?

Options:

A.  

Use Cloud Data Fusion pipelines.

B.  

Use Dataform workflows.

C.  

Use Dataflow pipelines.

D.  

Use Cloud Composer operators.

Discussion 0
Question # 8

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 0
Question # 9

You work for an ecommerce company that has a BigQuery dataset that contains customer purchase history, demographics, and website interactions. You need to build a machine learning (ML) model to predict which customers are most likely to make a purchase in the next month. You have limited engineering resources and need to minimize the ML expertise required for the solution. What should you do?

Options:

A.  

Use BigQuery ML to create a logistic regression model for purchase prediction.

B.  

Use Vertex AI Workbench to develop a custom model for purchase prediction.

C.  

Use Colab Enterprise to develop a custom model for purchase prediction.

D.  

Export the data to Cloud Storage, and use AutoML Tables to build a classification model for purchase prediction.

Discussion 0
Question # 10

You have a Cloud SQL for PostgreSQL database that stores sensitive historical financial data. You need to ensure that the data is uncorrupted and recoverable in the event that the primary region is destroyed. The data is valuable, so you need to prioritize recovery point objective (RPO) over recovery time objective (RTO). You want to recommend a solution that minimizes latency for primary read and write operations. What should you do?

Options:

A.  

Configure the Cloud SQL for PostgreSQL instance for multi-region backup locations.

B.  

Configure the Cloud SQL for PostgreSQL instance for regional availability (HA). Back up the Cloud SQL for PostgreSQL database hourly to a Cloud Storage bucket in a different region.

C.  

Configure the Cloud SQL for PostgreSQL instance for regional availability (HA) with synchronous replication to a secondary instance in a different zone.

D.  

Configure the Cloud SQL for PostgreSQL instance for regional availability (HA) with asynchronous replication to a secondary instance in a different region.

Discussion 0
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