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CertNexus Exam AIP-210 Topic 5 Question 22 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 22
Topic #: 5
[All AIP-210 Questions]

Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?

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Suggested Answer: B

Workflow design patterns for machine learning pipelines are common solutions to recurring problems in building and managing machine learning workflows. One of these patterns is to represent a pipeline with a directed acyclic graph (DAG), which is a graph that consists of nodes and edges, where each node represents a step or task in the pipeline, and each edge represents a dependency or order between the tasks. A DAG has no cycles, meaning there is no way to start at one node and return to it by following the edges. A DAG can help visualize and organize the pipeline, as well as facilitate parallel execution, fault tolerance, and reproducibility.


Contribute your Thoughts:

Milly
13 days ago
Option B is the way to go. IaaS provides the infrastructure that powers the whole cloud computing ecosystem, including machine learning pipelines. Easy peasy!
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Larae
17 days ago
Haha, I'm just going to guess and pick option A. Data as a Service? Sounds like a made-up term to me, but hey, you never know in these exams!
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Clay
17 days ago
Well, I don't know. Option C seems to be talking about payment applications, which doesn't really fit the context of cloud models for machine learning. I'm going to go with option B.
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Dominque
1 months ago
Hmm, I'm not sure about that. I think option D is the true statement here. SaaS can provide data science services like Jupyter notebooks, which are quite useful for ML pipelines.
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Quentin
8 days ago
Yes, Jupyter notebooks are very useful for machine learning pipelines.
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Shayne
16 days ago
I agree, SaaS can indeed provide AI practitioner data science services.
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Claudio
20 days ago
I think option D is correct. SaaS can provide data science services like Jupyter notebooks.
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Roslyn
2 months ago
I think option B is the correct answer. IaaS can indeed provide the necessary compute resources like CPU, memory, disk, network, and even GPU for machine learning workloads.
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Lynelle
1 months ago
Yes, IaaS is essential for machine learning pipelines to have the necessary compute power.
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Frederica
1 months ago
I agree, option B is correct. IaaS provides all those resources.
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Antonio
2 months ago
I'm not sure, but I think C) Platform as a Service (PaaS) also provides some services within an application.
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Alease
2 months ago
I agree with Claudio, IaaS provides CPU, memory, disk, network and GPU.
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Claudio
2 months ago
I think the correct answer is B) Infrastructure as a Service (IaaS).
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