GOOGLE PROFESSIONAL-CLOUD-ARCHITECT TRAINING KIT | PROFESSIONAL-CLOUD-ARCHITECT CERTIFICATION SAMPLE QUESTIONS

Google Professional-Cloud-Architect Training Kit | Professional-Cloud-Architect Certification Sample Questions

Google Professional-Cloud-Architect Training Kit | Professional-Cloud-Architect Certification Sample Questions

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Therefore, you have the option to use Google Professional-Cloud-Architect PDF questions anywhere and anytime. ValidTorrent Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) dumps are designed according to the Google Professional-Cloud-Architect certification exam standard and have hundreds of questions similar to the actual Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) exam. Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) web-based practice exam software also works without installation.

Google Professional-Cloud-Architect certification exam covers various topics, including designing and planning a cloud solution architecture, managing and provisioning a cloud solution infrastructure, designing for security and compliance, analyzing and optimizing technical and business processes, and managing implementations of cloud architecture. Professional-Cloud-Architect exam is designed to test the candidate's proficiency in these areas and their ability to apply their knowledge to real-world scenarios.

The Google Professional-Cloud-Architect Exam is designed to test an individual's knowledge of Google Cloud technologies, including GCP services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, and BigQuery, among others. The test also covers topics such as designing and implementing cloud architectures, managing and optimizing GCP resources, and ensuring the security and compliance of cloud-based solutions.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q53-Q58):

NEW QUESTION # 53
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?

  • A. Cloud SQL, because it is a fully managed relational database
  • B. Cloud Spanner, because it is globally distributed
  • C. Cloud Firestore, because it offers real-time synchronization across devices
  • D. BigQuery, because it is designed for large-scale processing of tabular data

Answer: D

Explanation:
Because this requires a relational database
https://cloud.google.com/files/BigQueryTechnicalWP.pdf
BigQuery is relational database and suport OLAP
Cloud Spanner OLTP


NEW QUESTION # 54
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 Container Engine with Bigtable
  • B. Google Compute Engine with Google BigQuery
  • C. Google Cloud Dataflow
  • D. Google Cloud Dataproc

Answer: C

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.
Reference: https://cloud.google.com/dataflow/


NEW QUESTION # 55
For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the requirements.
Considering Dress4Win's business and technical requirements, what should you do?

  • A. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
    Encrypt data with a customer-supplied encryption key when storing files in Cloud Storage.
  • B. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.
    Utilize Google's default encryption at rest when storing files in Cloud Storage.
  • C. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.
  • D. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
    Enable default storage encryption before storing files in Cloud Storage.

Answer: A


NEW QUESTION # 56
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

  • A. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
  • B. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
  • C. Create an App Engine web application where users can upload images for the next 24 hours. Authenticate users via Cloud Identity.
  • D. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.

Answer: A

Explanation:
Explanation/Reference:


NEW QUESTION # 57
Case Study: 4 - Dress4Win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* Business Requirements
* Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
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 enable Google Stackdriver Debugger on the application code to show errors in the code.
  • D. They should add canary tests so developers can measure how much of an impact the new release causes to latency.

Answer: A


NEW QUESTION # 58
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