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Google Professional-Cloud-Architect Exam Overview:

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Exam Target Audience

The specialists with this sought-after Google Professional Cloud Architect certificate have an in-depth understanding of Cloud architecture & Google Cloud Platform that enables them to create, develop, and operate highly available, secure, robust, scalable, and highly dynamic solutions in compliance with the business objectives of the organizations. With some relevant experience in the industry as well as familiarity with the products within the Google Cloud sphere, it is easier to comprehend the required test domains.

Ensuring Operations and Solution Reliability

• Monitor, log, profile, and alert solutions;
• Evaluate quality control measures.
• Assist with solutions support within the operation;
• Deploy and release management;

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q137-Q142):

NEW QUESTION # 137
Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

• A. Use Cloud Debugger in the development environment to understand the latency between the different microservices.
• B. Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.
• C. Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.
• D. Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP (S) load balancer to expose the different clusters over a single global IP address.

Answer: C

NEW QUESTION # 138
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

• A. NoSQL
• B. Flat file
• C. Relational
• D. Blobstore

Answer: A

Explanation:
Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:

Incorrect Answers:
D: The Blobstore API allows your application to serve data objects, called blobs, that are much larger than the size allowed for objects in the Datastore service. Blobs are useful for serving large files, such as video or image files, and for allowing users to upload large data files.
References:
https://www.mongodb.com/nosql-explained
Topic 1, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.

NEW QUESTION # 139
A financial services company is decommissioning one of its on-premises data centers. As part of this initiative, the company needs to perform a one-time migration of 500 TB of historical transaction archives to a Cloud Storage bucket for long-term retention. The data center ' s internet egress is 1 Gbps, which is shared with critical business operations. You must complete the secure data transfer within a 60-day window to meet the decommissioning deadline. What should you do?

• A. Write a script that uses the gcloud storage cp --parallel command to upload the data in chunks over the public internet during off-peak hours.
• B. Use Storage Transfer Service to create an agent-based transfer job that moves the data from the on- premises file servers directly to the Cloud Storage bucket.
• C. Order a Transfer Appliance, copy the data to the appliance using your high-speed local network, and ship it back to Google to upload the data into your Cloud Storage bucket.
• D. Provision a Partner Interconnect connection with a 10 Gbps capacity to accelerate the data transfer, and then use Storage Transfer Service.

Answer: C

Explanation:
According to Google Cloud ' s data transfer decision tree , physical migration using Transfer Appliance is the recommended solution when network bandwidth is a bottleneck. For 500 TB of data on a 1 Gbps link, the theoretical transfer time at 100% saturation is approximately 58 days ($500 \times 10

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