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QUESTION NO: 1
You have Google Cloud Dataflow streaming pipeline running with a Google Cloud Pub/Sub subscription as the source. You need to make an update to the code that will make the new Cloud
Dataflow pipeline incompatible with the current version. You do not want to lose any data when making this update. What should you do?
A. Create a new pipeline that has a new Cloud Pub/Sub subscription and cancel the old pipeline.
B. Create a new pipeline that has the same Cloud Pub/Sub subscription and cancel the old pipeline.
C. Update the current pipeline and provide the transform mapping JSON object.
D. Update the current pipeline and use the drain flag.
Answer: A

QUESTION NO: 2
Your software uses a simple JSON format for all messages. These messages are published to
Google Cloud Pub/Sub, then processed with Google Cloud Dataflow to create a real-time dashboard for the CFO. During testing, you notice that some messages are missing in the dashboard. You check the logs, and all messages are being published to Cloud Pub/Sub successfully. What should you do next?
A. Switch Cloud Dataflow to pull messages from Cloud Pub/Sub instead of Cloud Pub/Sub pushing messages to Cloud Dataflow.
B. Use Google Stackdriver Monitoring on Cloud Pub/Sub to find the missing messages.
C. Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output.
D. Check the dashboard application to see if it is not displaying correctly.
Answer: C

QUESTION NO: 3
You want to process payment transactions in a point-of-sale application that will run on Google
Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?
A. Cloud Datastore
B. Cloud Bigtable
C. BigQuery
D. Cloud SQL
Answer: D

QUESTION NO: 4
You create an important report for your large team in Google Data Studio 360. The report uses
Google BigQuery as its data source. You notice that visualizations are not showing data that is less than 1 hour old.
What should you do?
A. Clear your browser history for the past hour then reload the tab showing the virtualizations.
B. Refresh your browser tab showing the visualizations.
C. Disable caching in BigQuery by editing table details.
D. Disable caching by editing the report settings.
Answer: D
Explanation
Reference https://support.google.com/datastudio/answer/7020039?hl=en

QUESTION NO: 5
Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?
A. Dimensionality Reduction
B. Dropout Methods
C. Serialization
D. Threading
Answer: B
Explanation
Reference
https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-prediction-using- tensorflow-30505

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