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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Pipeline Orchestration | 18% | - Data transformation concepts
|
| Topic 2: Data Preparation and Ingestion | 30% | - Data loading methods
|
| Topic 3: Data Management and Governance | 25% | - Data quality and maintenance
|
| Topic 4: Data Analysis and Presentation | 27% | - Data exploration and analysis
|
Google Associate Data Practitioner Sample Questions:
Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?
- A. Set a bucket retention policy.
- B. Set temporary object holds.
- C. Change the bucket storage class to Archive.
- D. Enable Object Versioning.
Correct Answer: A 🗳️
You are designing a pipeline to process data files that arrive in Cloud Storage by 3:00 am each day. Data processing is performed in stages, where the output of one stage becomes the input of the next. Each stage takes a long time to run. Occasionally a stage fails, and you have to address the problem. You need to ensure that the final output is generated as quickly as possible. What should you do?
- A. Design the workflow as a Cloud Workflow instance. Code the workflow to jump to a given stage based on an input parameter. Rerun the workflow after correcting any stage output data errors.
- B. Design a Spark program that runs under Dataproc. Code the program to wait for user input when an error is detected. Rerun the last action after correcting any stage output data errors.
- C. Design the processing as a directed acyclic graph (DAG) in Cloud Composer. Clear the state of the failed task after correcting any stage output data errors.
- D. Design the pipeline as a set of PTransforms in Dataflow. Restart the pipeline after correcting any stage output data errors.
Correct Answer: C 🗳️
You need to design a data pipeline to process large volumes of raw server log data stored in Cloud Storage.
The data needs to be cleaned, transformed, and aggregated before being loaded into BigQuery for analysis.
The transformation involves complex data manipulation using Spark scripts that your team developed. You need to implement a solution that leverages your team's existing skillset, processes data at scale, and minimizes cost. What should you do?
- A. Use Dataproc to run the transformations on a cluster.
- B. Use Dataflow with a custom template for the transformation logic.
- C. Use Dataform to define the transformations in SQLX.
- D. Use Cloud Data Fusion to visually design and manage the pipeline.
Correct Answer: A 🗳️
Your company currently uses an on-premises network file system (NFS) and is migrating data to Google Cloud. You want to be able to control how much bandwidth is used by the data migration while capturing detailed reporting on the migration status. What should you do?
- A. Use Storage Transfer Service.
- B. Use gcloud storage commands.
- C. Use a Transfer Appliance.
- D. Use Cloud Storage FUSE.
Correct Answer: A 🗳️
You recently inherited a task for managing Dataflow streaming pipelines in your organization and noticed that proper access had not been provisioned to you. You need to request a Google-provided IAM role so you can restart the pipelines. You need to follow the principle of least privilege. What should you do?
- A. Request the Dataflow Worker role.
- B. Request the Dataflow Admin role.
- C. Request the Dataflow Developer role.
- D. Request the Dataflow Viewer role.
Correct Answer: C 🗳️
