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Professional-Cloud-Architect Practice Questions

Google Certified Professional - Cloud Architect (GCP)

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Total Questions : 345

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Question # 1

For this question, refer to the TerramEarth case study

You analyzed TerramEarth ' s business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers ' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company ' s processes should you recommend?

Options:

A.  

Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.

B.  

Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

C.  

Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.

D.  

Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

Discussion 0
Question # 2

For this question refer to the TerramEarth case study

Operational parameters such as oil pressure are adjustable on each of TerramEarth ' s vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?

Options:

A.  

Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.

B.  

Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.

C.  

Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.

D.  

Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.

Discussion 0
Question # 3

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 data. Which architecture should you recommend?

A)

Question # 3

B)

Question # 3

C)

Question # 3

D)

Options:

A.  

Option A

B.  

Option B

C.  

Option C

D.  

Option D

Discussion 0
Question # 4

For this question, refer to the TerramEarth case study.

To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

Options:

A.  

Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.

B.  

Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.

C.  

Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

D.  

Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

Discussion 0
Question # 5

Your agricultural division is experimenting with fully autonomous vehicles.

You want your architecture to promote strong security during vehicle operation.

Which two architecture should you consider?

Choose 2 answers:

Options:

A.  

Treat every micro service call between modules on the vehicle as untrusted.

B.  

Require IPv6 for connectivity to ensure a secure address space.

C.  

Use a trusted platform module (TPM) and verify firmware and binaries on boot.

D.  

Use a functional programming language to isolate code execution cycles.

E.  

Use multiple connectivity subsystems for redundancy.

F.  

Enclose the vehicle ' s drive electronics in a Faraday cage to isolate chips.

Discussion 0
Question # 6

For this question, refer to the TerramEarth case study

Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data. What should you do?

Options:

A.  

Build or leverage an OAuth-compatible access control system.

B.  

Build SAML 2.0 SSO compatibility into your authentication system.

C.  

Restrict data access based on the source IP address of the partner systems.

D.  

Create secondary credentials for each dealer that can be given to the trusted third party.

Discussion 0
Question # 7

For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.

What change in the on-premises architecture should you make?

Options:

A.  

Replace RabbitMQ with Google Pub/Sub.

B.  

Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.

C.  

Resize compute resources to match predefined Compute Engine machine types.

D.  

Containerize the micro services and host them in Google Kubernetes Engine.

Discussion 0
Question # 8

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

Options:

A.  

Create network load balancers. Use preemptible Compute Engine instances.

B.  

Create network load balancers. Use non-preemptible Compute Engine instances.

C.  

Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.

D.  

Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.

Discussion 0
Question # 9

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform’s resilience to changes in mobile network latency. What should you do?

Options:

A.  

Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.

B.  

Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.

C.  

Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.

D.  

Create an opt-in beta of the game that runs on players ' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

Discussion 0
Question # 10

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?

Options:

A.  

Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.

B.  

Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.

C.  

Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.

D.  

Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

Discussion 0
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