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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Managing implementation	12.5%	- Testing and validating solutions 1. Functional, performance, and security testing 2. Disaster recovery and failover testing - Using Google Cloud tools and APIs programmatically 1. Infrastructure as Code (Terraform, Deployment Manager) 2. Cloud SDK, Cloud Shell, and Cloud Code - Guiding development and deployment teams 1. CI/CD pipelines and automation 2. Application and infrastructure deployment strategies
Topic 2: Analyzing and optimizing technical and business processes	15%	- Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment - Improving reliability and performance 1. Latency reduction and throughput optimization 2. SLO, SLA, and error budgeting - Optimizing cost and resource efficiency 1. Committed use discounts and pricing models 2. Resource right-sizing and usage monitoring
Topic 3: Managing and provisioning solution infrastructure	15%	- Provisioning and managing compute resources 1. VMs, GKE, App Engine, Cloud Run deployment and management 2. Auto-scaling and resource management - Managing storage and data services 1. Cloud Storage, Filestore, Persistent Disk management 2. Database deployment, replication, and backup - Configuring network topologies and connectivity 1. VPC design, peering, and hybrid connectivity 2. Load balancing and CDN configuration
Topic 4: Designing for security and compliance	17.5%	- Implementing identity and access management 1. Organizational policies and resource hierarchy 2. IAM roles, permissions, and service accounts - Securing data and communications 1. Key management and secret security 2. Encryption at rest and in transit - Enforcing compliance and governance 1. VPC Service Controls and security perimeters 2. Security controls, auditing, and logging
Topic 5: Designing and planning a cloud solution architecture	25%	- Designing cloud solution infrastructure aligned with business requirements 1. Scalability, high availability, and fault tolerance design 2. Compliance and regulatory requirements consideration 3. Cost optimization strategies - Evaluating and selecting Google Cloud services 1. Compute, storage, database, and networking service selection 2. Serverless and managed service adoption - Planning cloud migration and hybrid/multi-cloud environments 1. Interoperability and integration design 2. Data transfer and synchronization 3. Migration planning and execution
Topic 6: Ensuring solution and operations excellence	12.5%	- Applying Well-Architected Framework principles 1. Operational excellence, reliability, security, cost, and performance pillars - Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis - Planning for continuous improvement 1. Technology updates and architecture evolution 2. Feedback loops and optimization cycles

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q349-Q354):

NEW QUESTION # 349
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs, what should you do?

A. Send them a list of online resources about logging best practices.
B. Direct them to download and install the Google StackDriver logging agent.
C. Help them define their requirements and assess viable logging tools.
D. Help them upgrade their current tool to take advantage of any new features.

Answer: C

Explanation:
Help them define their requirements and assess viable logging tools. They know the requirements and the existing tools' problems. While it's true StackDriver Logging and Error Reporting possibly meet all their requirements, there might be other tools also meet their need. They need you to provide expertise to make assessment for new tools, specifically, logging tools that can "capture errors and help them analyze their historical log data"

NEW QUESTION # 350
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?

A. Cloud Spanner, because it is globally distributed
B. Cloud SQL, because it is a fully managed relational database
C. Cloud Firestore, because it offers real-time synchronization across devices
D. BigQuery, because it is designed for large-scale processing of tabular data

Answer: D

Explanation:
Explanation
Explanation/Reference: https://cloud.google.com/files/BigQueryTechnicalWP.pdf

NEW QUESTION # 351
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. 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.
B. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
C. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
D. Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.

Answer: B

Explanation:
Predefined dashboards can be edited to add policies which allow you to set metrics and alerts.
You can't delete or copy these dashboards, and you can't add or remove charts to these dashboards.
https://cloud.google.com/monitoring/charts/predefined-dashboards

NEW QUESTION # 352
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

A. Perform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
B. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
C. Perform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.
D. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
Restart the pods to automatically deploy new production releases.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/instance-templates

NEW QUESTION # 353
For this question, refer to the EHR Healthcare case study. You are responsible for designing the Google Cloud network architecture for Google Kubernetes Engine. You want to follow Google best practices. Considering the EHR Healthcare business and technical requirements, what should you do to reduce the attack surface?

A. Use a public cluster with firewall rules and Virtual Private Cloud (VPC) routes.
B. Use a private cluster with a private endpoint with master authorized networks configured.
C. Use a private cluster with a public endpoint with master authorized networks configured.
D. Use a public cluster with master authorized networks enabled and firewall rules.

Answer: D

NEW QUESTION # 354
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