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Exam DP-100 topic 4 question 25 discussion

Actual exam question from Microsoft's DP-100
Question #: 25
Topic #: 4
[All DP-100 Questions]

You develop and train a machine learning model to predict fraudulent transactions for a hotel booking website.
Traffic to the site varies considerably. The site experiences heavy traffic on Monday and Friday and much lower traffic on other days. Holidays are also high web traffic days.
You need to deploy the model as an Azure Machine Learning real-time web service endpoint on compute that can dynamically scale up and down to support demand.
Which deployment compute option should you use?

  • A. attached Azure Databricks cluster
  • B. Azure Container Instance (ACI)
  • C. Azure Kubernetes Service (AKS) inference cluster
  • D. Azure Machine Learning Compute Instance
  • E. attached virtual machine in a different region
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️

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pddddd
Highly Voted 3 years, 11 months ago
C. AKS inference cluster
upvoted 64 times
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Abhinav_nasaiitkgp
Highly Voted 3 years, 9 months ago
C as AKS autoscales and support real time and can manage heavy traffic Why not D - because it doesn't support real time and doesn't autoscale
upvoted 20 times
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deyoz
Most Recent 8 months, 1 week ago
had compute cluster as an option, then what would have been the answers? compute cluster or AKS?
upvoted 1 times
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james2033
1 year ago
Selected Answer: C
'scale up and scale down' --> choose AKS. I choose C.
upvoted 1 times
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Ran2025
1 year ago
I thinks the answer is C!
upvoted 1 times
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RamundiGR
1 year, 8 months ago
Another one to fix. Can we please fix it? This should be 100% AKS
upvoted 2 times
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clark88
1 year, 9 months ago
Selected Answer: C
AKS - always for these kind of questions
upvoted 4 times
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synapse
2 years, 7 months ago
Selected Answer: C
AKS inference cluster
upvoted 3 times
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[Removed]
2 years, 8 months ago
On 20Feb2022
upvoted 1 times
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hargur
3 years ago
on 19Oct2021
upvoted 1 times
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slash_nyk
3 years, 3 months ago
I agree with C
upvoted 2 times
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ljljljlj
3 years, 3 months ago
On exam 2021/7/10
upvoted 6 times
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SnowCheetah
3 years, 4 months ago
it should be C since AKS with inference cluster can autoscale and support realtime
upvoted 3 times
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yobllip
3 years, 4 months ago
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-instance For production grade model training, use an Azure Machine Learning compute cluster with multi-node scaling capabilities. For production grade model deployment, use Azure Kubernetes Service cluster. I will go for C for sure
upvoted 3 times
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kty
3 years, 7 months ago
the answer is 'C' : Use for high-scale production deployments. Provides fast response time and autoscaling of the deployed service. https://docs.microsoft.com/fr-fr/azure/machine-learning/how-to-deploy-and-where?tabs=azcli
upvoted 3 times
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Oprawinkle1
3 years, 11 months ago
The key word there is automatically scaling up and down, so its compute instance
upvoted 2 times
111ssy
3 years, 11 months ago
A compute instance does not automatically scale down, so make sure to stop the resource to prevent ongoing charges. Therefore, compute instance is not the right answer
upvoted 7 times
111ssy
3 years, 11 months ago
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python
upvoted 3 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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