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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Ensuring solution and operations reliability	- Deployment and release management 1. Deployment strategies and rollback 2. Release management and versioning - Evaluating quality control measures - Assisting with support 1. Capacity planning and scaling 2. Incident response and troubleshooting - Monitoring/logging/profiling/alerting solution 1. Cloud Monitoring and Cloud Logging 2. Error reporting and alerting 3. Performance profiling and tracing
Topic 2: Managing and provisioning a solution infrastructure	- Configuring compute systems 1. Cloud Run and Cloud Functions 2. GKE configuration and management 3. Compute Engine configuration - Configuring network topologies 1. Private access and VPN configuration 2. Hybrid and multi-cloud connectivity 3. VPC design and peering - Configuring individual storage systems 1. Cloud SQL and Spanner 2. Cloud Storage configuration 3. Datastore and Bigtable
Topic 3: Analyzing and optimizing technical and business processes	- Analyzing and defining technical processes 1. CI/CD pipeline design 2. Software development lifecycle (SDLC) 3. Incident management and troubleshooting - Analyzing and defining business processes 1. Cost management and optimization 2. Stakeholder communication 3. Business KPIs and metrics
Topic 4: Designing for security and compliance	- Designing for security 1. Network security 2. Application security 3. Identity and Access Management (IAM) 4. Data security and encryption - Designing for compliance 1. Data residency and sovereignty 2. Audit logging and monitoring 3. Regulatory and compliance requirements
Topic 5: Designing and planning a cloud solution architecture	- Creating a migration plan 1. Identifying workloads for migration 2. Planning data migration 3. Refactoring and rearchitecting applications - Enabling future cloud technology 1. Implementing future-proof architectures 2. Designing for scalability and elasticity - Designing network, storage, and compute resources 1. Storage options and data lifecycle management 2. GKE cluster and workload design 3. Network design including load balancing and firewall rules 4. Compute engine selection and configuration - Designing solution infrastructure that meets business requirements 1. Migration planning 2. Networking and compute resources 3. Integration with existing systems 4. Data and storage architecture 5. Cost optimization 6. Business use cases and product strategy
Topic 6: Managing implementation	- Interacting with Google Cloud programmatically 1. APIs and client libraries 2. Cloud SDK and gcloud CLI 3. Infrastructure as Code (IaC) - Advising development/operation team(s) to ensure successful deployment 1. Application development best practices 2. Deployment strategies 3. Testing and validation

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q351-Q356):

NEW QUESTION # 351
You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely. Where should you store the credentials?

A. In the source code
B. In a config file that has restricted access through ACLs
C. In a secret management system
D. In an environment variable

Answer: C

Explanation:
Reference:
https://cloud.google.com/docs/authentication/production#providing_credentials_to_your_application

NEW QUESTION # 352
You have created several preemptible 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 xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
B. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
C. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.
D. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.

Answer: C

Explanation:
Running Shutdown Scripts: Create and run shutdown scripts that execute commands right before an instance is terminated or restarted, on a best-effort basis. This is useful if you rely on automated scripts to start up and shut down instances, allowing instances time to clean up or perform tasks, such as exporting logs, or syncing with other systems.
https://cloud.google.com/compute/docs/shutdownscript
To setup Shutdown Scripts, go to GCP console and follow the steps:
Compute Engine -> VM instance -> Create Instance -> (Expand) Management, disks, networking, SSH keys Enter the key "shutdown-script" and proper value

NEW QUESTION # 353
You are migrating a Linux-based application from your private data center to Google Cloud. The TerramEarth security team sent you several recent Linux vulnerabilities published by Common Vulnerabilities and Exposures (CVE). You need assistance in understanding how these vulnerabilities could impact your migration. What should you do?

A. Read the CVEs from the Google Cloud Status Dashboard to understand the impact.
B. Post a question regarding the CVE in a Google Cloud discussion group to get an explanation
C. Open a support case regarding the CVE and chat with the support engineer.
D. Read the CVEs from the Google Cloud Platform Security Bulletins to understand the impact
E. Post a question regarding the CVE in Stack Overflow to get an explanation

Answer: C,D

Explanation:
Explanation
https://cloud.google.com/support/bulletins

NEW QUESTION # 354
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

A. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
B. Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.
C. Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
D. Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.

Answer: D

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster

NEW QUESTION # 355
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?

A. Send custom metrics for each of your requests to Stackdriver Monitoring.
B. Set timeouts on your application so that you can fail requests faster.
C. Use Stackdriver Monitoring to look for insights that show when your API latencies are high.
D. Instrument your application with Stackdnver Trace in order to break down the request latencies at each microservice.

Answer: C

NEW QUESTION # 356
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