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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
| Designing data processing systems | 22%-27% | - Designing data pipelines
|
| Ensuring solution quality | 20%-25% | - Data quality management
|
| Building and operationalizing data processing systems | 28%-33% | - Building data processing systems
|
Google Data Engineer Sample Questions:
1. For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
A) Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
B) Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
C) Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D) Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
2. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?
A) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
B) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
C) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
D) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
3. Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?
A) Create a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project
B) Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
C) Create a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes
D) Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric
4. 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 the backup copy of the table.
D) Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
E) Set the BigQuery dataset to be multi-regional
F) In the event of an emergency, use a point-in-time snapshot to recover the data.
G) Set the BigQuery dataset to be multi-regional
H) Set the BigQuery dataset to be regiona
I) Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
J) In the event of an emergency, use the backup copy of the table.
5. An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?
A) Cloud BigTable
B) Cloud Datastore
C) BigQuery
D) Cloud SQL
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: F | Question # 5 Answer: A |






