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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: Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
| Topic 3: Designing data processing systems | 22%-27% | - Designing data pipelines
|
| Topic 4: Ensuring solution quality | 20%-25% | - Data quality management
|
Google Data Engineer Sample Questions:
1. 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 SQL
B) BigQuery
C) Cloud Datastore
D) Cloud BigTable
2. You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?
A) Monitor the total execution time for a sampling of job
B) Use the default autoscaling setting for worker instances.
C) Use Cloud Dataflow to run your transformation
D) Use the diagnose command to generate an operational output archiv
E) Locate the bottleneck and adjust cluster resources.
F) Use Cloud Dataproc to run your transformation
G) Monitor the job system lag with Stackdrive
H) Configure the job to use non-default Compute Engine machine types when needed.
I) Use Cloud Dataproc to run your transformation
J) Use Cloud Dataflow to run your transformation
K) Resize the number of worker nodes in your cluster via the command line.
L) Monitor CPU utilization for the cluste
3. What are the minimum permissions needed for a service account used with Google Dataproc?
A) Execute to Google Cloud Storage; execute to Google Cloud Logging
B) Read and write to Google Cloud Storage; write to Google Cloud Logging
C) Execute to Google Cloud Storage; write to Google Cloud Logging
D) Write to Google Cloud Storage; read to Google Cloud Logging
4. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?
A) BigQuery and Cloud Bigtable
B) BigQuery and Cloud Storage
C) Cloud Bigtable and Cloud SQL
D) Cloud Datastore and Cloud Bigtable
5. Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?
A) Increase your network bandwidth from your datacenter to GCP.
B) Increase your network bandwidth from Compute Engine to Cloud Storage.
C) Increase the size of the Google Persistent Disk on your server.
D) Increase the CPU size on your server.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: L | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |



