TEST PROFESSIONAL-CLOUD-ARCHITECT VCE FREE | TRAINING PROFESSIONAL-CLOUD-ARCHITECT ONLINE

Test Professional-Cloud-Architect Vce Free | Training Professional-Cloud-Architect Online

Test Professional-Cloud-Architect Vce Free | Training Professional-Cloud-Architect Online

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Google Professional-Cloud-Architect certification exam consists of 50 multiple-choice and multiple-select questions that need to be completed within two hours. Professional-Cloud-Architect exam measures the candidate's proficiency in several areas such as designing and planning a cloud solution architecture, managing and provisioning the cloud infrastructure, and ensuring the security and compliance of the cloud solutions. Professional-Cloud-Architect exam also tests the candidate's understanding of cloud-native architecture principles, application development methodologies, and hybrid and multi-cloud solutions.

Google Professional-Cloud-Architect (GCP) exam is a certification program designed to assess the skills and knowledge of professionals who want to work with Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is intended to demonstrate that an individual has the expertise and experience to design, develop, and manage scalable, secure, and reliable cloud solutions using GCP technologies.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q70-Q75):

NEW QUESTION # 70
One of the developers on your team deployed their application In Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality. Which two actions should you take? Choose 2 answers

  • A. Remove Python after running pip.
  • B. Use larger machine types for your Google Container Engine node pools.
  • C. Copy the source after the package dependencies (Python and pip) are installed.
  • D. Use a slimmed-down base image like Alpine linux.
  • E. Remove dependencies from requirements.txt.

Answer: C,D

Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/


NEW QUESTION # 71
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. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.
  • C. Integrate Cloud Dataflow into the application to capture real-time metrics.
  • D. Port the application code to run on Google App Engine.
  • E. Instrument the application with a monitoring tool like Stackdriver Debugger.
  • F. Select an automation framework to reliably provision the cloud infrastructure.

Answer: A,B,D

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 # 72
You are managing an application deployed on Cloud Run for Anthos, and you need to define a strategy for deploying new versions of the application. You want to evaluate the new code with a subset of production traffic to decide whether to proceed with the rollout. What should you do?

  • A. In the Google Cloud Console page for Cloud Run, set up continuous deployment using Cloud Build for the development branch. As part of the Cloud Build trigger, configure the substitution variable TRAFFIC_PERCENTAGE with the percentage of traffic you want directed to a new version.
  • B. In the Google Cloud Console, configure Traffic Director with a new Service that points to the new version of the application on Cloud Run. Configure Traffic Director to send a small percentage of traffic to the new version of the application.
  • C. Deploy a new service to Cloud Run with the new version. Add a Cloud Load Balancing instance in front of both services.
  • D. Deploy a new revision to Cloud Run with the new version. Configure traffic percentage between revisions.

Answer: D

Explanation:
https://cloud.google.com/run/docs/rollouts-rollbacks-traffic-migration


NEW QUESTION # 73
Case Study: 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.
For this question, refer to the Mountkirk Games case study. Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

  • A. Verify that the new feature code did not introduce any performance bugs.
  • B. Verify that the load-testing team is not running their tool against production.
  • C. Verify that the project quota hasn't been exceeded.
  • D. Verify that the database is online.

Answer: C


NEW QUESTION # 74
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

  • A. Google Cloud Bigtable
  • B. Google Cloud Storage
  • C. Google cloud Datastore
  • D. Google Cloud SQL

Answer: A

Explanation:
Explanation
https://cloud.google.com/solutions/data-analytics-partner-ecosystem
https://zulily-tech.com/2015/08/10/leveraging-google-cloud-dataflow-for-clickstream-processing/ Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs


NEW QUESTION # 75
......

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