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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionWeightObjectives
Managing and provisioning solution infrastructure15%- Managing storage and data services
  • 1. Database deployment, replication, and backup
  • 2. Cloud Storage, Filestore, Persistent Disk management
- Provisioning and managing compute resources
  • 1. Auto-scaling and resource management
  • 2. VMs, GKE, App Engine, Cloud Run deployment and management
- Configuring network topologies and connectivity
  • 1. Load balancing and CDN configuration
  • 2. VPC design, peering, and hybrid connectivity
Managing implementation12.5%- Testing and validating solutions
  • 1. Functional, performance, and security testing
  • 2. Disaster recovery and failover testing
- Guiding development and deployment teams
  • 1. Application and infrastructure deployment strategies
  • 2. CI/CD pipelines and automation
- Using Google Cloud tools and APIs programmatically
  • 1. Infrastructure as Code (Terraform, Deployment Manager)
  • 2. Cloud SDK, Cloud Shell, and Cloud Code
Ensuring solution and operations excellence12.5%- Implementing monitoring, logging, and observability
  • 1. Alerting, dashboarding, and root cause analysis
  • 2. Cloud Monitoring, Logging, and Error Reporting
- Applying Well-Architected Framework principles
  • 1. Operational excellence, reliability, security, cost, and performance pillars
- Planning for continuous improvement
  • 1. Technology updates and architecture evolution
  • 2. Feedback loops and optimization cycles
Analyzing and optimizing technical and business processes15%- Streamlining operational workflows
  • 1. Stakeholder communication and alignment
  • 2. Change management and incident response
- Optimizing cost and resource efficiency
  • 1. Committed use discounts and pricing models
  • 2. Resource right-sizing and usage monitoring
- Improving reliability and performance
  • 1. Latency reduction and throughput optimization
  • 2. SLO, SLA, and error budgeting
Designing and planning a cloud solution architecture25%- 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. Migration planning and execution
  • 2. Interoperability and integration design
  • 3. Data transfer and synchronization
- Designing cloud solution infrastructure aligned with business requirements
  • 1. Cost optimization strategies
  • 2. Compliance and regulatory requirements consideration
  • 3. Scalability, high availability, and fault tolerance design
Designing for security and compliance17.5%- Enforcing compliance and governance
  • 1. VPC Service Controls and security perimeters
  • 2. Security controls, auditing, and logging
- Implementing identity and access management
  • 1. Organizational policies and resource hierarchy
  • 2. IAM roles, permissions, and service accounts
- Securing data and communications
  • 1. Encryption at rest and in transit
  • 2. Key management and secret security

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q144-Q149):

NEW QUESTION # 144
As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging
and monitoring system so they can handle spikes in their traffic load.
They want to ensure that:
* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of
usage throughout the day
* Their administrators are notified automatically when their application reports errors.
* They can filter their aggregated logs down in order to debug one piece of the application across many
hosts
Which Google StackDriver features should they use?

Answer: C


NEW QUESTION # 145
Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced. Which two actions can you take? Choose 2 answers

Answer: B,E

Explanation:
https://docs.microsoft.com/en-us/vsts/articles/security-validation-cicd-pipeline?view=vsts


NEW QUESTION # 146
You have deployed an application to Google Kubernetes Engine (GKE), and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem.
What should you do?

Answer: D


NEW QUESTION # 147
Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter You want to utilize the cloud to help you scale this upcoming demand with the least amount of operations work and code change. Which product should you use?

Answer: B

Explanation:
Explanation
Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated with other Google Cloud Platform services, such as Google Cloud Storage and Stackdriver Logging, thus helping you reduce TCO.
References: https://cloud.google.com/dataproc/docs/resources/faq


NEW QUESTION # 148
Your company places a high value on being responsive and meeting customer needs quickly.
Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced. Which two actions can you take? Choose 2 answers

Answer: B,E

Explanation:
B - Static analysis inspects your source code to identify defects, vulnerabilities, and compliance issues as you code without having to run the program. This makes static analysis an essential component of your pipeline.
https://www.perforce.com/blog/kw/static-analysis-ci-cd-pipelines
E - Container Analysis provides vulnerability scanning and metadata storage for containers through Container Analysis. The scanning service performs vulnerability scans on images in Artifact Registry and Container Registry, then stores the resulting metadata and makes it available for consumption through an API. Metadata storage allows storing information from different sources, including vulnerability scanning, other Cloud services, and third-party providers.
https://cloud.google.com/container-registry/docs/container-analysis


NEW QUESTION # 149
......

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