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Exam AZ-305 topic 4 question 49 discussion

Actual exam question from Microsoft's AZ-305
Question #: 49
Topic #: 4
[All AZ-305 Questions]

You are designing a solution that calculates 3D geometry from height-map data.
You need to recommend a solution that meets the following requirements:
✑ Performs calculations in Azure.
✑ Ensures that each node can communicate data to every other node.
✑ Maximizes the number of nodes to calculate multiple scenes as fast as possible.
Minimizes the amount of effort to implement the solution.

Which two actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Enable parallel file systems on Azure.
  • B. Create a render farm that uses virtual machines.
  • C. Create a render farm that uses virtual machine scale sets.
  • D. Create a render farm that uses Azure Batch.
  • E. Enable parallel task execution on compute nodes.
Show Suggested Answer Hide Answer
Suggested Answer: DE 🗳️

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Davin0406
Highly Voted 2 years, 1 month ago
Selected Answer: DE
appeared in exam, 10/14/2022. I passed with 946/1000 and there were only 1~2 new questions but others were all from AZ-305 dump.
upvoted 26 times
OPT_001122
1 year, 10 months ago
Thanks for the exam date.
upvoted 7 times
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ServerBrain
1 year, 11 months ago
Thank you for the heads up Davin. You 're a good soul..
upvoted 14 times
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GarryK
Highly Voted 2 years, 2 months ago
Selected Answer: DE
How it works A common scenario for Batch involves scaling out intrinsically parallel work, such as the rendering of images for 3D scenes, on a pool of compute nodes. This pool can be your "render farm" that provides tens, hundreds, or even thousands of cores to your rendering job. https://learn.microsoft.com/en-us/azure/batch/batch-technical-overview https://learn.microsoft.com/en-us/azure/batch/batch-parallel-node-tasks You configure compute nodes for parallel task execution at the pool level
upvoted 12 times
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SeMo0o0o0o
Most Recent 3 weeks, 1 day ago
Selected Answer: DE
D & E are correct
upvoted 1 times
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MaxMax65
6 months, 1 week ago
First Answer: D. Create a render farm that uses Azure Batch. Through the use of Azure Batch Service we create and manage a pool of HPC nodes, and schedule jobs to run on the VMs, which is ideal to run parallel high-performance applications. Second Answer: E. Enable parallel task execution on compute nodes. - In Azure Batch Service we can implement Message Parsing Interface (aka MPI) so each HPC node can quickly communicata data to each other in order to enable high-perfomance parallel jobs.
upvoted 1 times
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Lazylinux
7 months, 2 weeks ago
Selected Answer: DE
Given Answer DE is correct as per https://azure.microsoft.com/en-us/products/batch https://learn.microsoft.com/en-us/azure/batch/batch-technical-overview
upvoted 1 times
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PMPft17
1 year ago
If I'm not mistaken, Azure Batch and Azure Cyclecloud can be used to manage HPC. Which in turn can be used to create scalable nodes for calculation
upvoted 1 times
PMPft17
1 year ago
One of the best-known types of HPC solutions is the supercomputer. A supercomputer contains thousands of compute nodes that work together to complete one or more tasks. This is called parallel processing. It's similar to having thousands of PCs networked together, combining compute power to complete tasks faster.
upvoted 2 times
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NotMeAnyWay
1 year, 5 months ago
Selected Answer: DE
The correct answers are D. Create a render farm that uses Azure Batch and E. Enable parallel task execution on compute nodes. Azure Batch is designed for high-performance parallel computing. It's a cloud-based job scheduling service that parallelizes the processing of large volumes of data across many virtual machines. It allows for each node to communicate data to every other node, which is a requirement in the question. Parallel task execution enables concurrent processing of multiple tasks on a single compute node, thereby maximizing the number of nodes to calculate multiple scenes as fast as possible. This can help to speed up processing times.
upvoted 8 times
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techrat
1 year, 7 months ago
Selected Answer: DE
I passed exam today with 979, and this question was on the exam, I am confident the correct answer is DE
upvoted 3 times
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globy118
1 year, 9 months ago
appeared in exam 02/15/2023
upvoted 4 times
EngAbood
1 year, 9 months ago
thank u for mentioned exam date , was all the questions from here , examtopics ?
upvoted 1 times
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Eusouzati
1 year, 9 months ago
Selected Answer: CD
ChatGPT The two actions that should be included in the recommendation are: C. Create a render farm that uses virtual machine scale sets, which will enable the deployment and management of a large number of identical virtual machines, and allow for automatic scaling based on the workload. D. Create a render farm that uses Azure Batch, which provides a platform for running large-scale parallel and high-performance computing (HPC) batch jobs. It can also automatically scale the number of nodes based on the workload and provides easy integration with Azure storage. Therefore, the recommended solution would be to create a render farm that uses virtual machine scale sets and Azure Batch in Azure to perform the 3D geometry calculations. This solution will ensure that each node can communicate with every other node, maximize the number of nodes to calculate multiple scenes as fast as possible, and minimize the amount of effort to implement the solution.
upvoted 1 times
mtc9
9 months, 1 week ago
Need to maximize nodes, not minimize costs or make them scalable so not scale sets. "Everything that ChatGPT tells you is correct" - Isaac Newton
upvoted 2 times
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OPT_001122
1 year, 10 months ago
Selected Answer: DE
D. Create a render farm that uses Azure Batch. E. Enable parallel task execution on compute nodes.
upvoted 3 times
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dubuser
1 year, 10 months ago
Appeared in 29/01/2023 exam. Passed with 903/1000
upvoted 6 times
OPT_001122
1 year, 10 months ago
Thanks for the exam date.
upvoted 1 times
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EngAbood
1 year, 9 months ago
thank u for mentioned exam date , was all the questions from here , examtopics ?
upvoted 1 times
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kay000001
2 years, 2 months ago
Selected Answer: DE
D and E - correct. Both Render A Farm & Parallel Task Execution are Batch features. https://docs.microsoft.com/en-us/azure/batch/batch-technical-overview
upvoted 5 times
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C (25%)
B (20%)
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