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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and operationalizing data processing systems | 28%-33% | - Building data processing systems
|
| Topic 2: Designing data processing systems | 22%-27% | - Designing for data ingestion
|
| Topic 3: Ensuring solution quality | 20%-25% | - Security and compliance
|
| Topic 4: Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
Google Data Engineer Sample Questions:
Which of the following job types are supported by Cloud Dataproc (select 3 answers)?
- A. Spark
- B. YARN
- C. Pig
- D. Hive
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You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?
- A. Set the BigQuery dataset to be regiona
- B. In the event of an emergency, use a point-in-time snapshot to recover the data.
- C. In the event of an emergency, use a point-in-time snapshot to recover the data.
- D. Set the BigQuery dataset to be multi-regional
- E. In the event of an emergency, use the backup copy of the table.
- F. In the event of an emergency, use the backup copy of the table.
- G. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
- H. Set the BigQuery dataset to be multi-regional
- I. Set the BigQuery dataset to be regiona
- J. Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
Which of these sources can you not load data into BigQuery from?
- A. File upload
- B. Google Cloud SQL
- C. Google Cloud Storage
- D. Google Drive
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Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?
- A. A non-sequential numeric ID
- B. A timestamp followed by a stock symbol
- C. A stock symbol followed by a timestamp
- D. A sequential numeric ID
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As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.
- A. Introduce resource hierarchy to leverage access control policy inheritance.
- B. For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
- C. Use Cloud Deployment Manager to automate access provision.
- D. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
- E. Create distinct groups for various teams, and specify groups in Cloud IAM policies.
- F. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.






