Google Exam Professional Cloud Developer Topic 1 Question 84 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 84
Topic #: 1

[All Professional Cloud Developer Questions]

You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:

* Load is initiated from multiple parallel threads

* User traffic to the API originates from multiple source IP addresses.

* Load can be scaled up using additional test instances

You want to follow Google-recommended best practices How should you configure the load testing'?

ACreate an image that has cURL installed and configure cURLto run a test plan Deploy the image in a
managed instance group, and run one instance of the image for each VM.

BCreate an image that has cURL installed and configure cURL to run a test plan Deploy the image in an
unmanaged instance group, and run one instance of the image for each VM.

CDeploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy
additional Pods as needed to initiate more traffic and support the number of concurrent users.

DDownload the container image of a distributed load testing framework on Cloud Shell Sequentially start
several instances of the container on Cloud Shell to increase the load on the API.

Show Suggested Answer

Suggested Answer: C

by Filiberto at May 31, 2024, 03:32 PM

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Kendra

8 months ago

Option D, 'Download the container image of a distributed load testing framework on Cloud Shell'? That's like trying to lift a truck with a toothpick!

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Lamonica

8 months ago

C) Deploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

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Tesha

8 months ago

A) Create an image that has cURL installed and configure cURL to run a test plan Deploy the image in a managed instance group, and run one instance of the image for each VM.

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Leonor

9 months ago

Option B with an unmanaged instance group? That's just asking for trouble. Gotta go with the managed instances for better control and scalability.

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Trinidad

9 months ago

Haha, option A with cURL? What is this, the Stone Age? We need some modern tools for this kind of load testing.

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Delsie

8 months ago

C) Deploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

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Bok

9 months ago

A) Create an image that has cURL installed and configure cURL to run a test plan Deploy the image in a managed instance group, and run one instance of the image for each VM.

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Eleonore

9 months ago

I don't know, that Cloud Shell approach in option D sounds a bit sketchy. Running multiple instances sequentially? Doesn't seem very efficient or scalable.

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Martina

8 months ago

I agree, option D does seem a bit risky. Using Kubernetes Engine for scalability sounds like a better choice.

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Ulysses

8 months ago

C) Deploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

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Paris

9 months ago

A) Create an image that has cURL installed and configure cURL to run a test plan Deploy the image in a managed instance group, and run one instance of the image for each VM.

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Lyndia

9 months ago

I agree with you, Laquanda. Using a distributed load testing framework on a private Google Kubernetes Engine Cluster seems like the most scalable solution.

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Kathrine

9 months ago

Option C sounds like the way to go. Using a distributed load testing framework on a private GKE cluster seems like the best way to meet the requirements and scale up the load.

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Emerson

8 months ago

I agree, deploying additional Pods as needed on a GKE cluster would definitely help in initiating more traffic and supporting concurrent users.

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Oren

8 months ago

Option C sounds like the way to go. Using a distributed load testing framework on a private GKE cluster seems like the best way to meet the requirements and scale up the load.

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Lezlie

9 months ago

I agree, deploying additional Pods as needed to support the number of concurrent users is a smart approach.

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Keena

9 months ago

Option C sounds like the way to go. Using a distributed load testing framework on a private GKE cluster seems like the best way to meet the requirements and scale up the load.

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