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NEW QUESTION 43
An application development team has come to you for advice.They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. What approach should you recommend?

• A. Use a Managed Instance Group when deploying to Compute Engine
• B. Develop the application for App Engine standard environment
• C. Develop the application for App Engine Flexible environment using a custom runtime
• D. Develop an application with containers, and deploy to Google Kubernetes Engine (GKE)

Answer: B

NEW QUESTION 44
Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?

• A. Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.
• B. Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.
• C. Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.
• D. Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.

Answer: D

Explanation:
https://cloud.google.com/monitoring/api/v3/metrics-details#metric-kinds

NEW QUESTION 45
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

• A. Unit tests are no longer required, only end-to-end tests.
• B. Tests should scale well beyond the prior approaches.
• C. Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.
• D. Tests should be applied after the release is in the production environment.

Answer: B

Explanation:
Explanation
From Scenario:
A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Requirements for Game Analytics Platform include: Dynamically scale up or down based on game activity

NEW QUESTION 46
For this question, refer to the Dress4Win case study.
Dress4Win has end-to-end tests covering 100% of their endpoints. They want to ensure that the move to the cloud does not introduce any new bugs. Which additional testing methods should the developers employ to prevent an outage?

• A. They should add additional unit tests and production scale load tests on their cloud staging environment.
• B. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.
• C. They should add canary tests so developers can measure how much of an impact the new release causes to latency.
• D. They should enable Google Stackdriver Debugger on the application code to show errors in the code.

Answer: C

NEW QUESTION 47
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the field will have a catastrophic failure. You want to allow analysts to centrally query the vehicle data.
Which architecture should you recommend?

• A.
• B.
• C.
• D.

Answer: D

Explanation:
The push endpoint can be a load balancer.
A container cluster can be used.
Cloud Pub/Sub for Stream Analytics

References: https://cloud.google.com/pubsub/
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-connected-car- data
https://cloud.google.com/solutions/iot/

NEW QUESTION 48
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