Quiz 2023 Professional-Cloud-Architect: Google Certified Professional - Cloud Architect (GCP)

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Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling monitoring the compute needs of the platform products, picking-up right data processing and related technologies.

Google Professional-Cloud-Architect Exam Syllabus Topics:

Topic	Details
Topic 1	Managing Implementation Ensuring Solution and Operations Reliability Deployment and Release Management
Topic 2	Designing a Solution Infrastructure that Meets Technical Requirements High Availability and Failover Design
Topic 3	Designing Network, Storage, and Compute Resources Integration with on Premises Multi-Cloud Environments
Topic 4	Designing for Security and Compliance Resource Hierarchy (organizations, folders, projects) Managing Customer-Supplied Encryption Keys with Cloud KMS
Topic 5	Creating a Migration Plan (i.e., documents and architectural diagrams) Integrating Solution with Existing Systems
Topic 6	Envisioning Future Solution Improvements Cloud and Technology Improvements Evangelism and Advocacy
Topic 7	Analyzing and Pptimizing Technical and Business Processes Analyzing and Defining Technical Processes, Software Development Lifecycle Plan
Topic 8	Managing and Provisioning Solution Infrastructure Configuring Network Topologies, Extending to on-Premise\|Extending to a Multi-Cloud Environment Which May Include GCP to GCP Communication Configuring Individual Storage Systems
Topic 9	Designing a Solution Infrastructure that Meets Business Requirements Business Use Cases and Product Strategy

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q30-Q35):

NEW QUESTION # 30
You need to develop procedures to test a disaster plan for a mission-critical application. You want to use Google-recommended practices and native capabilities within GCP.
What should you do?

A. Use Deployment Manager to automate service provisioning. Use Activity Logs to monitor and debug your tests.
B. Use automated scripts to automate service provisioning. Use Activity Logs monitor and debug your tests.
C. Use Deployment Manager to automate provisioning. Use Stackdriver to monitor and debug your tests.
D. Use gcloud scripts to automate service provisioning. Use Activity Logs monitor and debug your tests.

Answer: C

Explanation:
https://cloud.google.com/solutions/dr-scenarios-planning-guide

NEW QUESTION # 31
You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes.
What should you do?

A. Add additional nodes to your Kubernetes Engine cluster using the following command:
gcloud container clusters resize
CLUSTER_Name - -size 10
B. Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags
INSTANCE - -tags enable-
autoscaling max-nodes-10
C. Update the existing Kubernetes Engine cluster with the following command:
gcloud alpha container clusters
update mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
D. Create a new Kubernetes Engine cluster with the following command:
gcloud alpha container clusters
create mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
and redeploy your application

Answer: C

NEW QUESTION # 32
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?

A. Encrypt all data using elliptic curve cryptography
B. De-identify the data with the Cloud Data Loss Prevention API
C. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers
D. Hash all data using SHA256

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/solutions/pci-dss-compliance-in- gcp#using_data_loss_prevention_api_to_sanitize_data

NEW QUESTION # 33
Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation,
50% of web application deployed in the same
nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers

A. Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.
B. Read the debug GCE Activity log using the API or Cloud Console.
C. Identify whether a live migration event of the failed server occurred, using in the activity log.
D. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.
E. Use Stackdriver Logging to search for the module log entries.
F. Use gcloud or Cloud Console to connect to the serial console and observe the logs.

Answer: D,E,F

Explanation:
Explanation
https://www.flexera.com/blog/cloud/2013/12/google-compute-engine-live-migration-passes-the-test/
"With live migration, the virtual machines are moved without any downtime or noticeable service degradation"

NEW QUESTION # 34
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading.
Where should you store the data?

A. Google Cloud Bigtable
B. Google BigQuery
C. Google Cloud SQL
D. Google Cloud Storage

Answer: A

Explanation:
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
Reference: https://cloud.google.com/storage-options/

NEW QUESTION # 35
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