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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q191-Q196):

NEW QUESTION # 191
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 dependencies from requirements.txt.
B. Remove Python after running pip.
C. Use a slimmed-down base image like Alpine linux.
D. Copy the source after the package dependencies (Python and pip) are installed.
E. Use larger machine types for your Google Container Engine node pools.

Answer: C,D

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 # 192
Your company captures all web traffic data in Google Analytics 260 and stores it in BigQuery.
Each country has its own dataset. Each dataset has multiple tables. You want analysts from each country to be able to see and query only the data for their respective countries.
How should you configure the access rights?

A. Create a group per country. Add analysts to their respective country-groups. Create a single group `all_analysts', and add all country-groups as members. Grant the `all-analysis' group the IAM role of BigQuery jobUser. Share the appropriate tables with view access with each respective analyst country- group.
B. Create a group per country. Add analysts to their respective country-groups. Create a single group `all_analysts', and add all country-groups as members. Grant the `all-analysis' group the IAM role of BigQuery dataViewer. Share the appropriate dataset with view access with each respective analyst country-group.
C. Create a group per country. Add analysts to their respective country-groups. Create a single group `all_analysts', and add all country-groups as members. Grant the `all-analysis' group the IAM role of BigQuery jobUser. Share the appropriate dataset with view access with each respective analyst country-group.
D. Create a group per country. Add analysts to their respective country-groups. Create a single group `all_analysts', and add all country-groups as members. Grant the `all-analysis' group the IAM role of BigQuery dataViewer. Share the appropriate table with view access with each respective analyst country-group.

Answer: C

NEW QUESTION # 193
Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process. What should you do?

A. Use cloud functions to transfer log entries to Google Cloud SQL and use ACLS and views to limit an auditor's view.
B. Enable Google Cloud Storage (GCS) log export to audit logs Into a GCS bucket and delegate access to the bucket.
C. Create custom Google Stackdriver alerts and send them to the auditor.
D. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.

Answer: B

Explanation:
Explanation
Export the logs to Google Cloud Storage bucket - Archive Storage, as it will not be used for 1 year, price for which is $0.004 per GB per Month. The price for long term storage in BigQuery is $0.01 per GB per Month (250% more). Also for analysis purpose, whenever Auditors are there(once per year), you can use BigQuery and use GCS bucket as external data source. BigQuery supports querying Cloud Storage data from these storage classes:
Standard Nearline Coldline Archive

NEW QUESTION # 194
A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform. What should you do?

A. Help the engineer to convert his websocket code to use HTTP streaming.
B. Meet with the cloud operations team and the engineer to discuss load balancer options.
C. Review the encryption requirements for websocket connections with the security team.
D. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.

Answer: B

Explanation:
Google Cloud Platform (GCP) HTTP(S) load balancing provides global load balancing for HTTP(S) requests destined for your instances.
The HTTP(S) load balancer has native support for the WebSocket protocol.
References: https://cloud.google.com/compute/docs/load-balancing/http/

NEW QUESTION # 195
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

A. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
B. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
C. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
D. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.

Answer: B

Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate

NEW QUESTION # 196
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