Free Google Cloud Architect Professional Exam Braindumps (page: 3)

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View Related Case Study

For this question, refer to the Mountkirk Games case study Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?

  1. Create a project for development and test and another for staging and production.
  2. Create a network for development and test and another for staging and production.
  3. Create one subnetwork for development and another for staging and production.
  4. Create one project for development, a second for staging and a third for production.

Answer(s): D



View Related Case Study

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements.
Which combination of Google technologies will meet all of their requirements?

  1. Container Engine, Cloud Pub/Sub, and Cloud SQL
  2. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
  3. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
  4. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
  5. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Answer(s): B

Explanation:

A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.

Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.

From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.

Requirements for Game Analytics Platform

Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers Process data that arrives late because of slow mobile networks Allow SQL queries to access at least 10 TB of historical data Process files that are regularly uploaded by users' mobile devices Use only fully managed services


Reference:

https://cloud.google.com/solutions/big-data/stream-analytics/



View Related Case Study

For this question, refer to the TerramEarth case study.

TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle dat

  1. Which architecture should you recommend?
    A)



    B)



    C)

    D)
  2. Option A
  3. Option B
  4. Option C
  5. Option D

Answer(s): A

Explanation:

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/

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


Reference:

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/



View Related Case Study

For this question, refer to the TerramEarth case study.

The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework.
Which method should they use?

  1. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
  2. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
  3. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
  4. Use Google Container Engine with a Django Python container. Focus on an API for the public.
  5. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.

Answer(s): A

Explanation:

https://cloud.google.com/endpoints/docs/openapi/about-cloud- endpoints?hl=en_US&_ga=2.21787131.-1712523161.1522785064 https://cloud.google.com/endpoints/docs/openapi/architecture-overview https://cloud.google.com/storage/docs/gsutil/commands/test

Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.

From scenario:
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
Support the dealer network with more data on how their customers use their equipment to better position new products and services
Have the ability to partner with different companies ­ especially with seed and fertilizer suppliers in the fast-growing agricultural business ­ to create compelling joint offerings for their customers.


Reference:

https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth






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