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Professional-Cloud-Architect Exam Dumps, Complete Professional-Cloud-Architect Exam Dumps

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Efficient Google - Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP) Exam Dumps

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Before attending the exam for the Google Professional Cloud Architect certification, the individuals need to develop a good comprehension of its topics. The syllabus of the test is divided into five sections, each including several subtopics. The detailed outline of the exam domains can be viewed on the vendor’s website. A brief overview of the content is provided below:

Implementation Management
The aim of this module is to evaluate the ability of the individuals to advise operation or development team(s) to ensure the successful deployment of the solution. This includes application development, API best practices, testing frameworks, as well as data & system migration and management tooling. The examinees should also be capable of interacting with Google Cloud programmatically. This requires their understanding of Google Cloud Shell, Google Cloud SDK, and Cloud Emulators.
Security & Compliance Design
The examinees will be evaluated based on their competency in designing for security, including such considerations as identity & access management (IAM), resource hierarchy, data security, separation of duties (SoD), security controls, remote access, as well as managing customer-managed encryption keys using Cloud Key Management Service. Another subtopic covered in this section is designing for compliance. This involves the knowledge of legislation, commercial, industry certifications, as well as audits.
Analysis & Optimization of Technical & Business Processes
Within this subject area, the students need to demonstrate their proficiency in analyzing and determining technical as well as business processes. It also requires their skills in developing procedures to guarantee the reliability of solutions in production.
Management & Provisioning of Solution Infrastructure
In the framework of this topic, the test takers will be asked to showcase their ability to configure network topologies, individual storage systems, as well as compute systems.
Cloud Solution Architecture Design & Planning
Here the candidates need to demonstrate their skills in designing a solution infrastructure that satisfies the business needs; envisioning future solution improvements; creating a migration plan; designing network, compute, and storage resources; designing a solution infrastructure that satisfies the technical needs.

During the exam for the Google Professional Cloud Architect certification, some of the questions will refer you to a case study describing a fictitious business & solution concept. These case studies are designed to provide the students with additional context to help them choose the right answer(s). The candidates can review the examples of possible case studies in the official guide.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q47-Q52):

NEW QUESTION # 47
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

A. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
B. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to
36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
C. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.
D. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.

Answer: B

Explanation:
Explanation
https://cloud.google.com/bigquery/docs/managing-partitioned-tables#partition-expiration
https://cloud.google.com/storage/docs/lifecycle

NEW QUESTION # 48
You have created several pre-emptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted.
What should you do?

A. Create a shutdown script registered as a xinetdservice in Linux and configure a Stackdriver endpoint check to call the service
B. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- scriptin the Cloud Platform Console when you create the new virtual machine instance
C. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/directory
D. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadatacommand to specify the service URL as the value for a new metadata entry with the key shutdown-script-url

Answer: B

Explanation:
A startup script, or a shutdown script, is specified through the metadata server, using startup script metadata keys.
Reference: https://cloud.google.com/compute/docs/startupscript

NEW QUESTION # 49
You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. What should you do?

A. Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.
B. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
C. Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
D. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.

Answer: B

Explanation:
Explanation
https://cloud.google.com/stackdriver/docs/solutions/gke/legacy-stackdriver/monitoring

NEW QUESTION # 50
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?

A. The session variable is local to just a single instance.
B. The session variable is being overwritten in Cloud Datastore.
C. The HTTP Expires header needs to be set to -1 to stop caching.
D. The URL of the API needs to be modified to prevent caching.

Answer: A

Explanation:
Reference:
https://stackoverflow.com/questions/3164280/google-app-engine-cache-list-in-session-variable?rq=1

NEW QUESTION # 51
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources. What Google domain and project structure should you recommend?

A. Create two G Suite accounts to manage users: one for development/test/staging and one for production. Each account should contain one project for every application.
B. Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.
C. Create a single G Suite account to manage users with each stage of each application in its own project.
D. Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.

Answer: B

Explanation:
Note: The principle of least privilege and separation of duties are concepts that, although semantically different, are intrinsically related from the standpoint of security. The intent behind both is to prevent people from having higher privilege levels than they actually need
* Principle of Least Privilege: Users should only have the least amount of privileges required to perform their job and no more. This reduces authorization exploitation by limiting access to resources such as targets, jobs, or monitoring templates for which they are not authorized.
* Separation of Duties: Beyond limiting user privilege level, you also limit user duties, or the specific jobs they can perform. No user should be given responsibility for more than one related function. This limits the ability of a user to perform a malicious action and then cover up that action.
References:
https://cloud.google.com/kms/docs/separation-of-duties
Topic 4, Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
* Databases:
* MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
* Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
* iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
* Data analysis
* Real-time trending calculations
* MQ servers:
* Messaging
* Social notifications
* Events
* Miscellaneous servers:
* Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
* Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
* Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Migrate fully to the cloud if all other requirements are met.
Technical Requirements
* Evaluate and choose an automation framework for provisioning resources in cloud.
* Support failover of the production environment to cloud during an emergency.
* Identify production services that can migrate to cloud to save capacity.
* Use managed services whenever possible.
* Encrypt data on the wire and at rest.
* Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.

NEW QUESTION # 52
......

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