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Next Certification to Earn

Currently, the highest level in the program for Google involves professional certifications. Therefore, if you have a plan to earn a certificate based on another technology but still within the Google track, you can try out any targeted role like cloud developer or engineer. As a result, you can pick one from the professional-level certification paths below:

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Data Engineer;
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Google Professional-Cloud-Architect certification exam is a challenging exam that requires a deep understanding of cloud computing and the ability to design and manage complex cloud solutions. However, achieving this certification can help professionals advance their careers, increase their earning potential, and demonstrate their expertise in cloud computing. With the increasing demand for cloud computing professionals, the Google Professional-Cloud-Architect Certification is becoming an essential credential for professionals looking to advance their careers in this field.

To become a Google Certified Professional - Cloud Architect (GCP), candidates must pass the Professional-Cloud-Architect exam. Google Certified Professional - Cloud Architect (GCP) certification is intended for individuals who have a deep understanding of GCP services and the ability to design, develop, and manage robust, secure, and scalable solutions. Google Certified Professional - Cloud Architect (GCP) certification exam covers a wide range of topics, including cloud architecture, infrastructure, data storage, networking, security, and application development. Google Certified Professional - Cloud Architect (GCP) certification demonstrates that a professional has the skills and knowledge required to design and implement cloud solutions using GCP, which can lead to better job opportunities and higher salaries in the cloud computing industry.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q68-Q73):

NEW QUESTION # 68
Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a
99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?

A. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
B. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.
C. Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.
D. Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.

Answer: D

NEW QUESTION # 69
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly.
What three steps should you take to diagnose the problem? Choose 3 answers.

A. Take a snapshot of the disk and connect to a new machine to investigate
B. Connect the machine to another network with very simple firewall rules and investigate
C. Delete the virtual machine (VM) and disks and create a new one
D. Delete the instance, attach the disk to a new VM, and investigate
E. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate
F. Check inbound firewall rules for the network the machine is connected to

Answer: A,E,F

Explanation:
D: Handling "Unable to connect on port 22" error message
Possible causes include:
* There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
* The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
F: Handling "Could not connect, retrying..." error
You can verify that the daemon is running by navigating to the serial console output page and looking for output lines prefixed with the accounts-from-metadata: string. If you are using a standard image but you do not see these output prefixes in the serial console output, the daemon might be stopped. Reboot the instance to restart the daemon.
Reference:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser

NEW QUESTION # 70
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers

A. Schedule the load-testing tool to regularly run against the production environment.
B. Ensure that the load tests validate the performance of Cloud Bigtable.
C. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
D. Create a separate Google Cloud project to use for the load-testing environment.
E. Instrument the production services to record every transaction for replay by the load- testing tool.
F. Ensure all third-party systems your services use are capable of handling high load.

Answer: A,B,F

NEW QUESTION # 71
Your company has sensitive data in Cloud Storage buckets. Data analysts have Identity Access Management (IAM) permissions to read the buckets. You want to prevent data analysts from retrieving the data in the buckets from outside the office network. What should you do?

A. 1. Create a Cloud Function to remove IAM permissions from the buckets, and another Cloud Function to add IAM permissions to the buckets.
2. Schedule the Cloud Functions with Cloud Scheduler to add permissions at the start of business and remove permissions at the end of business.
B. 1. Create a VPC Service Controls perimeter that includes the projects with the buckets.
2. Create an access level with the CIDR of the office network.
C. 1. Create a Cloud VPN to the office network.
2. Configure Private Google Access for on-premises hosts.
D. 1. Create a firewall rule for all instances in the Virtual Private Cloud (VPC) network for source range.
2. Use the Classless Inter-domain Routing (CIDR) of the office network.

Answer: B

Explanation:
Explanation
For all Google Cloud services secured with VPC Service Controls, you can ensure that: Resources within a perimeter are accessed only from clients within authorized VPC networks using Private Google Access with either Google Cloud or on-premises. https://cloud.google.com/vpc-service-controls/docs/overview
https://cloud.google.com/vpc-service-controls/docs/overview. You create a service control across your VPC and any cloud bucket or any project resource to restrict access. Anything outside of it can't access the resources within service control perimeter

NEW QUESTION # 72
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 Storage
D. Google Cloud SQL

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 # 73
......

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Professional-Cloud-Architect Valid Exam Braindumps & Exam Dumps Professional-Cloud-Architect Collection

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Professional-Cloud-Architect Prep4sure, Professional-Cloud-Architect network simulator review

Next Certification to Earn

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q68-Q73):

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