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Updated: Jul 02, 2026
No. of Questions: 77 Questions & Answers with Testing Engine
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1. 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) Write to Google Cloud Storage; read to Google Cloud Logging
C) Read and write to Google Cloud Storage; write to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging
2. Cloud Dataproc is a managed Apache Hadoop and Apache service.
A) Fire
B) Spark
C) Ignite
D) Blaze
3. Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?
A) An event time trigger
B) A processing time trigger
C) An hourly watermark
D) The with Allowed Lateness method
4. 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) Process the generated Sentiment Analysis as labels.
B) Call the model from your application and process the results as labels.
C) Build and train a text classification model using TensorFlo
D) Call the Cloud Natural Language API from your applicatio
E) Deploy the model using Cloud Machine Learning Engin
F) Call the Cloud Natural Language API from your applicatio
G) Deploy the model using a KubernetesEngine cluste
H) Process the generated Entity Analysis as labels.
I) Build and train a text classification model using TensorFlo
J) Call the model from your application and process the results as labels.
5. You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?
A) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
B) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
C) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
D) Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: H | Question # 5 Answer: B |
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