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Google ADP Exam Syllabus Topics:

Google Associate Data Practitioner Sample Questions:

1. 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?

A) Export the data to Cloud Storage, and use signed URLs to authorize access.
B) Enable access control by using IAM roles.
C) Update dataset privileges by using the SQL GRANT statement.
D) Encrypt the data by using customer-managed encryption keys (CMEK).

2. You need to create a new data pipeline. You want a serverless solution that meets the following requirements:
* Data is streamed from Pub/Sub and is processed in real-time.
* Data is transformed before being stored.
* Data is stored in a location that will allow it to be analyzed with SQL using Looker.
Which Google Cloud services should you recommend for the pipeline?

A) Dataflow BigQuery
B) BigQuery Analytics Hub
C) Dataproc Serverless Bigtable
D) Cloud Composer Cloud SQL for MySQL

3. You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?

A) Use Dataflow to transform the data and write the transformed data to BigQuery.
B) Use Cloud Data Fusion to transfer the data into BigQuery raw tables, and use SQL to transform it.
C) Manually download the data from Cloud Storage. Use a Python script to transform and upload the data into BigQuery.
D) Use Cloud Run functions to transform and load the data into BigQuery.

4. Your organization needs to store historical customer order dat
a. 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?

A) Store the data in Cloud Storage using Standard storage.
B) Store the data in Cloud Storage using Nearline storage.
C) Store the data in Cloud Storage using Coldline storage.
D) Store the data in Cloud Storage using Archive storage.

5. You created a customer support application that sends several forms of data to Google Cloud. Your application is sending:
1. Audio files from phone interactions with support agents that will be accessed during trainings.
2. CSV files of users' personally identifiable information (PII) that will be analyzed with SQL.
3. A large volume of small document files that will power other applications.
You need to select the appropriate tool for each data type given the required use case, while following Google- recommended practices. Which should you choose?

A) Cloud Storage BigQuery Firestore
B) Filestore Bigtable BigQuery
C) Filestore Cloud SQL for PostgreSQL Datastore
D) Cloud Storage CloudSQL for PostgreSQL Bigtable

Solutions: