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Google Professional-Cloud-Architect Exam Syllabus Topics:

TopicDetails
Topic 1
  • Managing implementation: This section assesses project managers' abilities to oversee the successful deployment of cloud solutions. It involves advising development and operations teams, understanding application development, adhering to API best practices, utilizing testing frameworks, managing data and system migrations, and interacting with Google Cloud programmatically using tools like Cloud Shell and Cloud SDK.
Topic 2
  • Managing and provisioning a solution infrastructure: Targeting system administrators, this section assesses the ability to configure network topologies, storage systems, and compute resources. It includes extending networks to on-premises or multi-cloud environments, ensuring security measures, managing data storage allocation, provisioning compute resources, and orchestrating infrastructure effectively.
Topic 3
  • Designing and planning a cloud solution architecture: This section evaluates the skills of cloud architects in designing infrastructures that align with both business and technical requirements. It encompasses understanding business use cases, cost optimization, application support, external system integration, data movement, and making informed design decisions. Additionally, it involves creating migration plans, integrating solutions with existing systems, and anticipating future improvements based on evolving business needs and technological advancements.

Recommended Experience

Officially, there are no prerequisites to be fulfilled before taking-up the Google Professional Cloud Architect exam. Anyone who wants to polish their knowledge of Google Cloud and aim at an architect role can apply for it.

However, it is recommended to have a minimum of 3+ years of industry experience before anyone enrolls in the test. These should also include 1+ years of experience in designing solutions as well as managing them using GCP. Such a base will make the exam journey a bit more simplified.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q45-Q50):

NEW QUESTION # 45
You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

Answer: C

Explanation:
Reference:
https://medium.com/google-cloud/no-localhost-no-problem-using-google-cloud-shell-as-my-full-time-development-environment-22d5a1942439


NEW QUESTION # 46
For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk's technical requirement for storing game activity in a time series database service?

Answer: B

Explanation:
https://cloud.google.com/blog/products/databases/getting-started-with-time-series-trend-predictions-using-gcp


NEW QUESTION # 47
You want to optimize the performance of an accurate, real-time, weather-charting application.
The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

Answer: C

Explanation:
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
Low-latency read/write access

High-throughput analytics

Native time series support

Common workloads:
IoT, finance, adtech

Personalization, recommendations

Monitoring

Geospatial datasets

Graphs

References: https://cloud.google.com/storage-options/


NEW QUESTION # 48
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize
operations. They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and
live-processing some data as it comes in.
Which technology should they use for this?

Answer: B

Explanation:
Explanation/Reference:
Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and
batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or
compromises needed.
References: https://cloud.google.com/dataflow/


NEW QUESTION # 49
A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

Answer: C

Explanation:
Jenkins is an open-source automation server that lets you flexibly orchestrate your build, test, and deployment pipelines. Kubernetes Engine is a hosted version of Kubernetes, a powerful cluster manager and orchestration system for containers.
When you need to set up a continuous delivery (CD) pipeline, deploying Jenkins on Kubernetes Engine provides important benefits over a standard VM-based deployment Incorrect Answers:
A: Helm is a tool for managing Kubernetes charts. Charts are packages of pre-configured Kubernetes resources.
Use Helm to:
* Find and use popular software packaged as Kubernetes charts
* Share your own applications as Kubernetes charts
* Create reproducible builds of your Kubernetes applications
* Intelligently manage your Kubernetes manifest files
* Manage releases of Helm packages
Reference: https://cloud.google.com/solutions/jenkins-on-kubernetes-engine


NEW QUESTION # 50
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