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Download Google Certified Professional - Cloud Architect (GCP) Exam Dumps

NEW QUESTION 51
Your company has a Google Cloud project that uses BigQuery for data warehousing They have a VPN tunnel between the on-premises environment and Google Cloud that is configured with Cloud VPN. The security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing. What should they do?

  • A. Configure Private Google Access for on-premises only.
  • B. Configure VPC Service Controls and configure Private Google Access.
  • C. Configure Private Google Access.
  • D. Perform the following tasks:
    1) Create a service account.
    2) Give the BigQuery JobUser role and Storage Reader role to the service account.
    3) Remove all other IAM access from the project.

Answer: B

Explanation:
https://cloud.google.com/vpc-service-controls/docs/overview
VPC Service Controls improves your ability to mitigate the risk of data exfiltration from Google Cloud services such as Cloud Storage and BigQuery.

 

NEW QUESTION 52
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize
operations. They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and
live-processing some data as it comes in.
Which technology should they use for this?

  • A. Google Cloud Dataproc
  • B. Google Compute Engine with Google BigQuery
  • C. Google Cloud Dataflow
  • D. Google Container Engine with Bigtable

Answer: C

Explanation:
Explanation/Reference:
Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and
batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or
compromises needed.
References: https://cloud.google.com/dataflow/

 

NEW QUESTION 53
Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?

  • A. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
  • B. Google Compute Engine unmanaged instance groups and Network Load Balancer
  • C. Google Compute Engine managed instance groups with auto-scaling
  • D. Google App Engine with Google Stackdriver for logging

Answer: C

Explanation:
Explanation
https://cloud.google.com/compute/docs/instance-groups/
Google Compute Engine enables users to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users.
Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower.

 

NEW QUESTION 54
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?

  • A. Container Engine, Cloud Pub/Sub, and Cloud SQL
  • B. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
  • C. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
  • D. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
  • E. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery

Answer: E

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

 

NEW QUESTION 55
......

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