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

NEW QUESTION 28
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?

A. Containerize the micro-services and host them in Google Kubernetes Engine.B. Replace RabbitMQ with Google Pub/Sub.C. Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.D. Resize compute resources to match predefined Compute Engine machine types.

Answer: D

Explanation:
Explanation/Reference:
Mix Questions
Question Set 1

 

NEW QUESTION 29
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for securely deploying workloads to Google Cloud. You also need to ensure that only verified containers are deployed using Google Cloud services. What should you do? (Choose two.)

A. Configure Container Registry to use vulnerability scanning to confirm that there are no vulnerabilities before deploying the workload.B. Enable Binary Authorization on GKE, and sign containers as part of a CI/CD pipeline.C. Configure Container Registry to only allow trusted service accounts to create and deploy containers from the registry.D. Configure Jenkins to utilize Kritis to cryptographically sign a container as part of a CI/CD pipeline.

Answer: A,B

Explanation:
Reference:
Binary Authorization to ensure only verified containers are deployed To ensure deployment are secure and and consistent, automatically scan images for vulnerabilities with container analysis (https://cloud.google.com/docs/ci-cd/overview?hl=en&skip_cache=true)

 

NEW QUESTION 30
JencoMart wants to move their User Profiles database to Google Cloud Platform.
Which Google Database should they use?

A. Google Cloud SQLB. Google BigQueryC. Google Cloud DatastoreD. Cloud Spanner

Answer: C

Explanation:
Explanation/Reference:
Explanation:
Common workloads for Google Cloud Datastore:
User profiles

Product catalogs

Game state

References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview
Testlet 1
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for the most popular mobile platforms.
They build all of their games using some server-side integration. Historically, they have used cloud
providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global
audience, application servers MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them
into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the
game's backend on Google Compute Engine so they can capture streaming metrics run intensive
analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL
database.
Business Requirements
Increase to a global footprint

Improve uptime - downtime is loss of players

Increase efficiency of the clous resources we use

Reduce lateny to all customers

Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity
2. Connect to a managed NoSQL database service
3. Run customize Linux distro
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity
2. Process incoming data on the fly directly from the game servers
3. Process data that arrives late because of slow mobile networks
4. Allow SQL queries to access at least 10 TB of historical data
5. Process files that are regularly uploaded by users' mobile devices
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user
adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs)
to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into
usage patterns so we can adapt the game to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move
to an environment that provides autoscaling, low latency load balancing, and frees us up from managing
physical servers.
CFO Statement
We are not capturing enough user demographic data, usage metrics, and other KPIs. As a result, we do
not engage the right users, we are not confident that our marketing is targeting the right users, and we are
not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.

 

NEW QUESTION 31
For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

A. Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.B. Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.C. Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.D. Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

Answer: D

 

NEW QUESTION 32
......


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