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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing for observability and monitoring
|
| Topic 2: Building and testing applications | 23% | - Testing applications
|
| Topic 3: Configuring cloud-native applications for deployment | 24% | - Deploying applications to Google Kubernetes Engine
|
| Topic 4: Integrating applications with Google Cloud services | 21% | - Consuming Google Cloud APIs and services
|
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NEW QUESTION # 65
You are a developer of a new customer-facing help desk chat service that is built on Cloud Run.
Your customers use the chat option on your website to get support. The application saves each transcript as a text file with a unique identifier in a Cloud Storage bucket. After the conversation is done and before the chat window is closed, the customer receives a link to the chat transcript.
You want to provide access to the chat transcript link for 2 hours. You need to configure this access using an approach that prioritizes security and follows Google-recommended practices.
What should you do?
Answer: B
Explanation:
A signed URL is a secure, time-limited link that provides temporary access to a specific object in Cloud Storage. By creating a signed URL for each chat transcript with a 2-hour expiration, you ensure that only users with the URL can access the transcript and that access is automatically revoked after 2 hours. This approach prioritizes security and aligns with Google-recommended practices for providing temporary, secure access to files in Cloud Storage without modifying bucket permissions or setting up complex conditional IAM roles.
NEW QUESTION # 66
You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?
Answer: B
Explanation:
Explanation
https://cloud.google.com/blog/products/containers-kubernetes/7-best-practices-for-building-containers
https://cloud.google.com/architecture/best-practices-for-building-containers
"classic Apache/MySQL/PHP stack: you might be tempted to run all the components in a single container.
However, the best practice is to use two or three different containers: one for Apache, one for MySQL, and potentially one for PHP if you are running PHP-FPM."
NEW QUESTION # 67
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal's .net-based auth service fails under intermittent load.
What should they do?
Answer: C
Explanation:
https://cloud.google.com/appengine/docs/flexible/dotnet/how-instances-are-managed Automatic scaling creates instances based on request rate, response latencies, and other application metrics. You can specify thresholds for each of these metrics, as well as a minimum number instances to keep running at all times.
NEW QUESTION # 68
You have two tables in an ANSI-SQL compliant database with identical columns that you need to quickly combine into a single table, removing duplicate rows from the result set. What should you do?
Answer: D
Explanation:
A is not correct because UNION ALL does not remove duplicates.
B is not correct because there is no indication of a column to potentially join on.
C is not correct because WITH statements simply define query results as an intra-statement table.
D is correct because the UNION operator combines result sets while removing duplicates.
https://www.techonthenet.com/sql/union.php
NEW QUESTION # 69
You have an HTTP Cloud Function that is called via POST. Each submission's request body has a flat, unnested JSON structure containing numeric and text dat a. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?
Answer: C
NEW QUESTION # 70
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