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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

Question 1

You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A. Call the model from your application and process the results as labels.
B. Deploy the model using Cloud Machine Learning Engin
C. Process the generated Sentiment Analysis as labels.
D. Deploy the model using a KubernetesEngine cluste
E. Call the model from your application and process the results as labels.
F. Call the Cloud Natural Language API from your applicatio
G. Build and train a text classification model using TensorFlo
H. Build and train a text classification model using TensorFlo
I. Call the Cloud Natural Language API from your applicatio
J. Process the generated Entity Analysis as labels.

Question 2

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. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
B. Use Cloud Deployment Manager to automate access provision.
C. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
D. For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
E. Introduce resource hierarchy to leverage access control policy inheritance.
F. Create distinct groups for various teams, and specify groups in Cloud IAM policies.

Question 3

For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

A. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
B. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
C. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
D. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.

Question 4

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. Use Cloud Dataflow to run your transformation
B. Locate the bottleneck and adjust cluster resources.
C. Monitor the job system lag with Stackdrive
D. Configure the job to use non-default Compute Engine machine types when needed.
E. Use Cloud Dataproc to run your transformation
F. Use the default autoscaling setting for worker instances.
G. Monitor the total execution time for a sampling of job
H. Use Cloud Dataproc to run your transformation
I. Use Cloud Dataflow to run your transformation
J. Monitor CPU utilization for the cluste
K. Resize the number of worker nodes in your cluster via the command line.
L. Use the diagnose command to generate an operational output archiv

Question 5

Which of the following is NOT one of the three main types of triggers that Dataflow supports?

A. Trigger based on element count
B. Trigger based on element size in bytes
C. Trigger based on time
D. Trigger that is a combination of other triggers

Solutions: