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Managing & Provisioning Solution Infrastructures

Configure network topologies: the examinees should have the ability to extend to hybrid and on-premises networking and multi-Cloud environment that may entail GCP to GCP communication. It also requires their understanding of data protection and security;
Configure individual storage systems: the areas of focus should include data storage allocation; access management and security; data processing and compute provisioning; data lifecycle management and data retention; network configuration for the data latency and transfer;
Configure compute systems: you should understand system provisioning; compute volatility configuration; container orchestration using Kubernetes; technology configuration for infrastructure provisioning; network configuration for the compute nodes.

The Google Professional-Cloud-Architect exam is designed to test the candidate's knowledge of GCP, including its features, services, and capabilities. Professional-Cloud-Architect Exam evaluates the candidate's abilities in designing, planning, and managing GCP solutions. To pass the exam, the candidate must have a deep understanding of GCP architecture and be able to design and implement solutions that are reliable, scalable, and secure.

The Google Certified Professional - Cloud Architect (GCP) certification exam covers a range of topics, including designing and planning a cloud solution architecture, managing and provisioning a cloud solution infrastructure, optimizing and securing a cloud solution environment, and analyzing and optimizing technical and business processes. Professional-Cloud-Architect exam is designed to evaluate the candidate's ability to design and deploy scalable, reliable, and cost-effective cloud solutions that meet the needs of their organization.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q178-Q183):

NEW QUESTION # 178
For this question, refer to the TerramEarth case study.
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the dat a. What is the most cost-effective way to run this job?

A. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the jo
B. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.
C. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
D. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.

Answer: A

Explanation:
Storageguarantees 2 replicates which are geo diverse (100 miles apart) which can get better remote latency and availability.
More importantly, is that multiregional heavily leverages Edge caching and CDNs to provide the content to the end users.
All this redundancy and caching means that Multiregional comes with overhead to sync and ensure consistency between geo-diverse areas. As such, it's much better for write-once-read-many scenarios. This means frequently accessed (e.g. "hot" objects) around the world, such as website content, streaming videos, gaming or mobile applications.
References: https://medium.com/google-cloud/google-cloud-storage-what-bucket-class-for-the-best-performance-5c847ac8f9f2

NEW QUESTION # 179
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

A. * Compress individual files.
* Name files with serverName-EventSequence.
* Save files to one bucket
* Set custom metadata headers for each object after saving.
B. * Append metadata to file body.
* Compress individual files.
* Name files with a random prefix pattern.
* Save files to one bucket
C. * Batch every 10,000 events with a single manifest file for metadata.
* Compress event files and manifest file into a single archive file.
* Name files using serverName-EventSequence.
* Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket.
Otherwise, save the single archive file to existing bucket.
D. * Append metadata to file body.
* Compress individual files.
* Name files with serverName-Timestamp.
* Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket

Answer: B

Explanation:
In order to maintain a high request rate, avoid using sequential names. Using completely random object names will give you the best load distribution. Randomness after a common prefix is effective under the prefix https://cloud.google.com/storage/docs/request-rate

NEW QUESTION # 180
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?

A. Build SAML 2.0 SSO compatibility into your authentication system.
B. Restrict data access based on the source IP address of the partner systems.
C. Create secondary credentials for each dealer that can be given to the trusted third party.
D. Build or leverage an OAuth-compatible access control system.

Answer: D

Explanation:
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#delegate_application_authorization_with_oauth2

NEW QUESTION # 181
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data.
You want to help them find a solution that meets their needs, what should you do?

A. Direct them to download and install the Google StackDriver logging agent.
B. Help them upgrade their current tool to take advantage of any new features.
C. Send them a list of online resources about logging best practices.
D. Help them define their requirements and assess viable logging tools.

Answer: A

Explanation:
Explanation
The Stackdriver Logging agent streams logs from your VM instances and from selected third party software packages to Stackdriver Logging. Using the agent is optional but we recommend it. The agent runs under both Linux and Microsoft Windows.
Note: Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
References: https://cloud.google.com/logging/docs/agent/installation

NEW QUESTION # 182
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

A. Deploy a continuous integration tool with automated testing in a staging environment.
B. Select an automation framework to reliably provision the cloud infrastructure.
C. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.
D. Integrate Cloud Dataflow into the application to capture real-time metrics.
E. Instrument the application with a monitoring tool like Stackdriver Debugger.
F. Port the application code to run on Google App Engine.

Answer: A,B,F

Explanation:
Explanation
References: https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp
https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql

NEW QUESTION # 183
......

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