Free Access to Google.Professional-Cloud-Architect.v2022-10-18.q208 with Valid Practice Test (Page 4)

Question 11

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

Question 12

An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a better 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.Send them a list of online resources about logging best practices
C.Help them define their requirements and assess viable logging tools
D.Help them upgrade their current tool to take advantage of any new features

Question 13

JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application
servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need
access to Datastore to upload the data.
What service account key-management strategy should you recommend?

A.Provision service account keys for the on-premises infrastructure and for the GCE virtual machines
(VMs)
B.Authenticate the on-premises infrastructure with a user account and provision service account keys for
the VMs
C.Provision service account keys for the on-premises infrastructure and use Google Cloud Platform
(GCP) managed keys for the VMs
D.Deploy a custom authentication service on GCE/Google Kubernetes Engine (GKE) for the on-premises
infrastructure and use GCP managed keys for the VMs

Question 14

Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?

A.Use separate backend pools for each API path behind the load balancer.
B.Reconfigure old clients to use a new endpoint for the new API.
C.Configure a new load balancer for the new version of the API.
D.Have the old API forward traffic to the new API based on the path.

Question 15

For this question, refer to the Mountkirk Games case study
Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?

A.Create a project for development and test and another for staging and production.
B.Create a network for development and test and another for staging and production.
C.Create one subnetwork for development and another for staging and production.
D.Create one project for development, a second for staging and a third for production.

Correct Answer: D

Topic 1, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's 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.
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 customized Linx 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, resuming 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 gams 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.

Question 11

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