100% Pass Quiz 2025 Google Professional-Cloud-Architect Authoritative Instant Download
100% Pass Quiz 2025 Google Professional-Cloud-Architect Authoritative Instant Download
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The Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) practice questions (desktop and web-based) are customizable, meaning users can set the questions and time according to their needs to improve their discipline and feel the real-based exam scenario to pass the Google Professional-Cloud-Architect Certification. Customizable mock tests comprehensively and accurately represent the actual Professional-Cloud-Architect certification exam scenario.
Google Professional-Cloud-Architect Exam is a certification program that focuses on testing an individual's ability to design and manage secure, scalable, and reliable cloud-based solutions using Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is aimed at cloud architects, engineers, and consultants who want to showcase their expertise in Google Cloud technologies and help their organizations migrate to the cloud.
The Google Professional-Cloud-Architect exam measures the candidate's ability to design and plan a cloud solution architecture, manage and provision the cloud infrastructure, optimize the solution for reliability, performance, and cost-effectiveness, and ensure the security and compliance of the cloud environment. It also tests the candidate's knowledge of GCP services such as Compute Engine, Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, BigQuery, and Dataflow. Google Certified Professional - Cloud Architect (GCP) certification is suitable for cloud architects, solution architects, cloud consultants, and IT professionals who are responsible for designing and implementing cloud solutions using GCP.
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Whether you are good at learning or not, passing the exam can be a very simple and enjoyable matter together with our Professional-Cloud-Architect practice engine. As a professional multinational company, we fully take into account the needs of each user when developing our Professional-Cloud-Architect Exam Braindumps. For example, in order to make every customer can purchase at ease, our Professional-Cloud-Architect preparation quiz will provide users with three different versions for free trial, corresponding to the three official versions.
Exam Topics
The certification exam covers six domains. Each of them has a list of subtopics that the applicants should understand before taking the test. To develop competence in the content, it is recommended that you spend some time going over the exam guide and taking some practice tests. Below are the details of the subjects covered in the Google Professional Cloud Architect exam:
Designing & Planning Cloud Solution Architectures
- Design network, compute, and storage resources: this covers one’s competence in selecting data processing technologies, relevant storage types, and compute resources; integration with multi-Cloud/on-premises environments; Cloud-native networking; mapping compute requirements for platform products;
- Design a solution infrastructure that fulfills the business prerequisites: this covers skills in cost optimization; product strategy and business use cases; integration with the external systems; supporting application designs; build-buy-or-modify; design decision trade-off; data movement; observability and compliance; success measurements;
- Envision future solutions enhancements: the individuals should understand the technology and Cloud improvements; evangelism and advocacy; business requirements evolution.
- Design a solution infrastructure that fulfills the technical prerequisites: the candidates must demonstrate their understanding of Cloud resources elasticity; failover design and high availability; latency and performance; scalability to fulfill growth needs;
- Create a migration plan: the students should be able to integrate the solution with current systems; migrate data and systems to support solutions; license mapping; test and proof concepts; network planning; dependency management strategy;
Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q235-Q240):
NEW QUESTION # 235
Your company wants to migrate their 10-TB on-premises database export into Cloud Storage You want to minimize the time it takes to complete this activity, the overall cost and database load The bandwidth between the on-premises environment and Google Cloud is 1 Gbps You want to follow Google-recommended practices What should you do?
- A. Develop a Dataflow job to read data directly from the database and write it into Cloud Storage
- B. Use a commercial partner ETL solution to extract the data from the on-premises database and upload it into Cloud Storage
- C. Use the Data Transfer appliance to perform an offline migration
- D. Compress the data and upload it with gsutii -m to enable multi-threaded copy
Answer: C
Explanation:
The Data Transfer appliance is a Google-provided hardware device that can be used to transfer large amounts of data from on-premises environments to Cloud Storage. It is suitable for scenarios where the bandwidth between the on-premises environment and Google Cloud is low or insufficient, and the data size is large. The Data Transfer appliance can minimize the time it takes to complete the migration, the overall cost and database load, by avoiding network bottlenecks and reducing bandwidth consumption. The Data Transfer appliance also encrypts the data at rest and in transit, ensuring data security and privacy. The other options are not optimal for this scenario, because they either require a high-bandwidth network connection (B, C, D), or incur additional costs and complexity (B, C). Reference:
https://cloud.google.com/data-transfer-appliance/docs/overview
https://cloud.google.com/blog/products/storage-data-transfer/introducing-storage-transfer-service-for-on-premises-data
NEW QUESTION # 236
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?
- A. Digitally sign all of your JAR files and redeploy your application
- B. Upload missing JAR files and redeploy your application.
- C. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
Answer: A
NEW QUESTION # 237
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 dat a. You want to help them find a solution that meets their needs, what should you do?
- A. Help them define their requirements and assess viable logging tools.
- B. Help them upgrade their current tool to take advantage of any new features.
- C. Direct them to download and install the Google StackDriver logging agent.
- D. Send them a list of online resources about logging best practices.
Answer: A
Explanation:
Reference:
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".
References: https://cloud.google.com/logging/docs/agent/installation
NEW QUESTION # 238
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical
architecture for the database workloads for your company, Mountkirk Games. Considering the business
and technical requirements, what should you do?
- A. Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
- B. Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery
for historical data queries. - C. Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.
- D. Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
Answer: B
NEW QUESTION # 239
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?
- A. Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
- B. Google Cloud Storage, Google App Engine, Google Network Load Balancer
- C. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
- D. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
Answer: A
Explanation:
Topic 3, JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
* Oracle Database stores user profiles
* 20 TB
* Complex table structure
* Well maintained, clean data
* Strong backup strategy
* PostgreSQL database stores user credentials
* Single-homed in US West
No redundancy
Backed up every 12 hours
* 100% uptime service level agreement (SLA)
* Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
* Twin 250 GB HDD (RAID 1)
* 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
* Twin 250 GB HDD (RAID 1)
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web.
The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success.
Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
NEW QUESTION # 240
......
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