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Google Cloud Platform Google Cloud Associate Data Practitioner (ADP Exam)

Google Cloud Associate Data Practitioner (ADP Exam)

Last Update Apr 1, 2025
Total Questions : 106

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Questions 2

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:

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.

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.

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.

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 0

Questions 3

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:

Enable access control by using IAM roles.

Update dataset privileges by using the SQL GRANT statement.

Export the data to Cloud Storage, and use signed URLs to authorize access.

Encrypt the data by using customer-managed encryption keys (CMEK).

Discussion 0

Questions 4

Your retail company collects customer data from various sources:

Questions 4 Online transactions: Stored in a MySQL database

Questions 4 Customer feedback: Stored as text files on a company server

Questions 4 Social media activity: Streamed in real-time from social media platforms

You are designing a data pipeline to extract this data. Which Google Cloud storage system(s) should you select for further analysis and ML model training?

Options:

1. Online transactions: Cloud Storage

2. Customer feedback: Cloud Storage

3. Social media activity: Cloud Storage

1. Online transactions: BigQuery

2. Customer feedback: Cloud Storage

3. Social media activity: BigQuery

1. Online transactions: Bigtable

2. Customer feedback: Cloud Storage

3. Social media activity: CloudSQL for MySQL

1. Online transactions: Cloud SQL for MySQL

2. Customer feedback: BigQuery

3. Social media activity: Cloud Storage

Discussion 0

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Questions 5

Your organization needs to store historical customer order data. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?

Options:

Store the data in Cloud Storaqe usinq Nearline storaqe.

Store the data in Cloud Storaqe usinq Coldline storaqe.

Store the data in Cloud Storage using Standard storage.

Store the data in Cloud Storage using Archive storage.

Discussion 0

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