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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q109-Q114):

NEW QUESTION # 109
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department. Which two steps should you take? Choose 2 answers

A. Use Google BigQuery billing export and labels to associate cost to groups.
B. Apply VM CPU utilization label and include it in the BigQuery billing export.
C. Store all state into local SSD, snapshot the persistent disks, and terminate the VM.
D. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.
E. Use the -auto-delete flag on all persistent disks and terminate the VM.
F. Use the --no-auto-delete flag on all persistent disks and stop the VM.

Answer: A,F

Explanation:
Explanation: https://cloud.google.com/billing/docs/how-to/export-data-bigquery

NEW QUESTION # 110
You need to evaluate your team readiness for a new GCP project. You must perform the evaluation and create a skills gap plan incorporates the business goal of cost optimization. Your team has deployed two GCP projects successfully to date. What should you do?

A. Allocate budget to hire skilled external consultants. Set a deadline for the new GCP project.
B. Allocate budget for team training. Set a deadline for the new GCP project.
C. Allocate budget to hire skilled external consultants. Create a roadmap for your team to achieve Google Cloud certification based on job role.
D. Allocate budget for team training. Create a roadmap for your team to achieve Google Cloud certification based on job role.

Answer: D

Explanation:
Explanation
https://services.google.com/fh/files/misc/cloud_center_of_excellence.pdf

NEW QUESTION # 111
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings.
Which approach should you use?

A. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage
B. Configure Stackdriver Monitoring for all Projects, and export to BigQuery
C. Configure Stackdriver Monitoring for all Projects with the default retention policies
D. Grant the security team access to the logs in each Project

Answer: B

Explanation:
Explanation/Reference:
Explanation:
Stackdriver Logging provides you with the ability to filter, search, and view logs from your cloud and open source application services. Allows you to define metrics based on log contents that are incorporated into dashboards and alerts. Enables you to export logs to BigQuery, Google Cloud Storage, and Pub/Sub.
References: https://cloud.google.com/stackdriver/

NEW QUESTION # 112
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

A. Remove Python after running pip.
B. Use a slimmed-down base image like Alpine linux.
C. Copy the source after the package dependencies (Python and pip) are installed.
D. Use larger machine types for your Google Container Engine node pools.
E. Remove dependencies from requirements.txt.

Answer: B,C

Explanation:
Explanation
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/

NEW QUESTION # 113
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery.
What should you do to fix the script?

A. Install the latest BigQuery API client library for Python
B. Run your script on a new virtual machine with the BigQuery access scope enabled
C. Create a new service account with BigQuery access and execute your script with that user
D. Install the bq component for gcloud with the command gcloud components install bq.

Answer: B

NEW QUESTION # 114
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