PROFESSIONAL-CLOUD-ARCHITECT GUARANTEED QUESTIONS ANSWERS | PROFESSIONAL-CLOUD-ARCHITECT VALID REAL EXAM

Professional-Cloud-Architect Guaranteed Questions Answers | Professional-Cloud-Architect Valid Real Exam

Professional-Cloud-Architect Guaranteed Questions Answers | Professional-Cloud-Architect Valid Real Exam

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Target Audience

The certification is aimed at those Cloud Architects who are able to design, manage, and develop robust, scalable, secure, dynamic, and highly available solutions to drive their organizational business objectives. These specialists can perform the following tasks:

  • design for compliance and security;
  • design, plan, and manage Cloud solution architectures;
  • manage the implementation of Cloud architecture;
  • evaluate and optimize the business and technical processes;
  • ensure the reliability of solutions and operations.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q143-Q148):

NEW QUESTION # 143
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? Choose 2 answers.

  • A. Use the - -no-auto-delete flag on all persistent disks and stop the VM
  • B. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM
  • C. Use the - -auto-delete flag on all persistent disks and terminate the VM
  • D. Use Google BigQuery billing export and labels to associate cost to groups
  • E. Apply VM CPU utilization label and include it in the BigQuery billing export
  • F. Store all state into local SSD, snapshot the persistent disks, and terminate the VM

Answer: E,F

Explanation:
C: Billing export to BigQuery enables you to export your daily usage and cost estimates automatically throughout the day to a BigQuery dataset you specify.
Labels applied to resources that generate usage metrics are forwarded to the billing system so that you can break down your billing charges based upon label criteria. For example, the Compute Engine service reports metrics on VM instances. If you deploy a project with 2,000 VMs, each of which is labeled distinctly, then only the first 1,000 label maps seen within the 1 hour window will be preserved.
E: You cannot stop an instance that has a local SSD attached. Instead, you must migrate your critical data off of the local SSD to a persistent disk or to another instance before you delete the instance completely.
You can stop an instance temporarily so you can come back to it at a later time. A stopped instance does not incur charges, but all of the resources that are attached to the instance will still be charged. Alternatively, if you are done using an instance, delete the instance and its resources to stop incurring charges.
References:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
https://cloud.google.com/compute/docs/instances/stopping-or-deleting-an-instance


NEW QUESTION # 144
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. Create secondary credentials for each dealer that can be given to the trusted third party.
  • C. Restrict data access based on the source IP address of the partner systems.
  • 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_auth Delegate application authorization with OAuth2 Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
References:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#delegate_application_auth
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
Topic 2, Mountkirk Games Case Study 1
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.


NEW QUESTION # 145
You are working at a financial institution that stores mortgage loan approval documents on Cloud Storage. Any change to these approval documents must be uploaded as a separate approval file, so you want to ensure that these documents cannot be deleted or overwritten for the next 5 years. What should you do?

  • A. Create a retention policy on the bucket for the duration of 5 years. Create a lock on the retention policy.
  • B. Create the bucket with fine-grained access control, and grant a service account the role of Object Writer. Use the service account to upload new files.
  • C. Create the bucket with uniform bucket-level access, and grant a service account the role of Object Writer. Use the service account to upload new files.
  • D. Use a customer-managed key for the encryption of the bucket. Rotate the key after 5 years.

Answer: A


NEW QUESTION # 146
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 Cloud Dataproc
  • B. Google Container Engine with Bigtable
  • C. Google Cloud Dataflow
  • D. Google Compute Engine with Google BigQuery

Answer: C

Explanation:
Dataflow is for processing both the Batch and Stream.
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.


NEW QUESTION # 147
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

  • A. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
  • B. Write a schema migration plan to denormalize data for better performance in BigQuery.
  • C. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
  • D. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.
  • E. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.

Answer: A,B

Explanation:
https://cloud.google.com/bigquery/docs/loading-data#loading_denormalized_nested_and_repeated_data


NEW QUESTION # 148
......

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