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You need to set up permissions for a set of Compute Engine instances to enable them to write data into a particular Cloud Storage bucket. You want to follow Google-recommended practices. What should you do?
Answer: C
As per as the least privileage recommended by google, C is the correct Option, A is incorrect because the scope doesnt exist. B incorrect because it will give him full of control
Source: Adapted from community discussion — coldpar
You are building a backend service for an ecommerce platform that will persist transaction data from mobile and web clients. After the platform is launched, you expect a large volume of global transactions. Your business team wants to run SQL queries to analyze the data. You need to build a highly available and scalable data store for the platform. What should you do?
Answer: A
Per ChatGPT, Option A, creating a multi-region Cloud Spanner instance with an optimized schema, is the best choice for building a highly available and scalable data store that can efficiently handle global transactions and support SQL queries for analysis.
Source: Adapted from community discussion — KelvinToo
You are in charge of provisioning access for all Google Cloud users in your organization. Your company recently acquired a startup company that has their own Google Cloud organization. You need to ensure that your Site Reliability Engineers (SREs) have the same project permissions in the startup company's organization as in your own organization. What should you do?
Answer: C
Per ChatGPT, Option C is the correct choice for achieving consistency in project permissions across both organizations by leveraging the gcloud iam roles copy command and providing the Organization ID of the startup company's Google Cloud Organization as the destination.
Source: Adapted from community discussion — KelvinToo
You need to extract text from audio files by using the Speech-to-Text API. The audio files are pushed to a Cloud Storage bucket. You need to implement a fully managed, serverless compute solution that requires authentication and aligns with Google-recommended practices. You want to automate the call to the API by submitting each file to the API as the audio file arrives in the bucket. What should you do?
Answer: D
Reasons- Serverless: Cloud Functions provide a serverless environment, eliminating the need for managing infrastructure. Triggered by Cloud Storage events: The Cloud Function can be triggered automatically as new audio files are added to the bucket, automating the process of submitting them to the API. Authentication: Cloud Functions can use service accounts to authenticate with the Speech-to-Text API, ensuring secure access. Fully managed: Cloud Functions handle the execution environment, scaling, and other operational aspects, reducing your management overhead. Google-recommended practices: Using Cloud Functions and Cloud Storage aligns with Google's recommended practices for building serverless applications.
Source: Adapted from community discussion — yomi95
Your customer wants you to create a secure website with autoscaling based on the compute instance CPU load. You want to enhance performance by storing static content in Cloud Storage. Which resources are needed to distribute the user traffic?
Answer: A
Why D is not correct: Installing HTTPS Certificates on the Instance: While this approach can work, it's generally more efficient and secure to use a managed SSL certificate with the load balancer itself, rather than installing and managing certificates on each individual instance. Managing SSL certificates on the load balancer simplifies certificate management, especially in an autoscaling environment where new instances are frequently created and removed.
Source: Adapted from community discussion — Cynthia2023
The core business of your company is to rent out construction equipment at large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors. You expect high throughput – up to thousands of events per hour per device – and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?
Answer: D
D. Explanation: - Bigtable is a highly scalable, NoSQL database designed for high throughput and low-latency applications, making it suitable for scenarios with high ingest rates and rapid data retrieval. - Creating a row key based on the event timestamp would facilitate efficient retrieval of time-based data, ensuring consistency and atomicity for individual signals. - Bigtable's design allows for fast access to data using row keys, providing optimal performance when retrieving specific signals or events based on timestamps. - It also offers the scalability needed for handling thousands of events per hour per device.
Source: Adapted from community discussion — apb98
You just installed the Google Cloud CLI on your new corporate laptop. You need to list the existing instances of your company on Google Cloud. What must you do before you run the gcloud compute instances list command? (Choose two.)
Answer: A
AE (I couldn't select both). In addition to authenticating your account (Option A) to ensure the necessary permissions, setting the default project using `gcloud config set project [Your_Project_ID]` is crucial. It guarantees that subsequent commands are executed within the intended project's context. Both steps are essential before listing instances in Google Cloud Platform: proper authentication for permissions and setting the default project to ensure the commands run in the correct project context.
Source: Adapted from community discussion — apb98
You are planning to migrate your on-premises data to Google Cloud. The data includes: • 200 TB of video files in SAN storage • Data warehouse data stored on Amazon Redshift • 20 GB of PNG files stored on an S3 bucket You need to load the video files into a Cloud Storage bucket, transfer the data warehouse data into BigQuery, and load the PNG files into a second Cloud Storage bucket. You want to follow Google-recommended practices and avoid writing any code for the migration. What should you do?
Answer: B
• Transfer Appliance for Video Files: Given the large size of the video files (200 TB) in SAN storage, using Google's Transfer Appliance is a practical solution. Transfer Appliance is a hardware solution provided by Google for transferring large amounts of data. It is well-suited for scenarios where uploading data over the internet is too slow or not feasible. • BigQuery Data Transfer Service for Data Warehouse Data: To migrate data from Amazon Redshift to BigQuery, the BigQuery Data Transfer Service is the appropriate tool. It automates the migration of data from several sources, including Amazon Redshift, into BigQuery. • Storage Transfer Service for PNG Files: The Storage Transfer Service is ideal for moving data from Amazon S3 to Google Cloud Storage. It simplifies the process of importing your PNG files from S3 to a Cloud Storage bucket.
Source: Adapted from community discussion — Cynthia2023
You want to deploy a new containerized application into Google Cloud by using a Kubernetes manifest. You want to have full control over the Kubernetes deployment, and at the same time, you want to minimize configuring infrastructure. What should you do?
Answer: A
Autopilot mode is designed for those who prefer a hands-off approach. It’s best suited for businesses that want to leverage the power of Kubernetes without diving deep into its intricacies. It offers a simplified, managed experience with Google taking care of the operational overhead. On the other hand, Standard mode is for those who want granular control over their Kubernetes environment. It’s ideal for businesses with specific requirements and those who have the expertise to manage and optimize their Kubernetes clusters.
Source: Adapted from community discussion — iooj
Your team is building a website that handles votes from a large user population. The incoming votes will arrive at various rates. You want to optimize the storage and processing of the votes. What should you do?
Answer: D
Pub/Sub: Google Cloud Pub/Sub is a messaging service which directly uses for this purpose. Cloud Functions: By triggering a Cloud Function with a Pub/Sub topic, you can process the votes as they arrive, ensuring low-latency handling and efficient scaling based on demand. This approach provides real-time processing and can handle bursts of traffic effectively.
Source: Adapted from community discussion — BuenaCloudDE
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