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NVIDIA-Certified Associate: Accelerated Data Science NCA-ADS

100 real NVIDIA NCA-ADS questions with answers checked by certified engineers. Start free, upgrade when you are ready.

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Questions
100
Exam code
NCA-ADS
Last updated
Oct 17, 2026
Language
English
Certification
NVIDIA-Certified Associate: Accelerated Data Science
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NCA-ADS sample questions

2 questions from the NCA-ADS practice set, with the answer and explanation.

  1. Question 1
    A pipeline applies the same arithmetic operation to millions of independent rows. Why is this workload a good candidate for GPU acceleration?
    • A.
      GPUs have larger local disks than CPU servers, so the data never has to be read twice from slow storage during processing
    • B.
      GPUs run many parallel threads, which suits one operation applied across many independent data elements
    • C.
      GPUs remove every host-to-device memory transfer, so data never has to leave the device
    • D.
      GPUs run each row in a separate operating system process to avoid locking
    Show answer

    Correct answer:

    • B.
      GPUs run many parallel threads, which suits one operation applied across many independent data elements

    Explanation

    Data-parallel arithmetic maps well to thousands of GPU threads that each apply the same operation to different elements. The tempting claim that GPUs remove memory transfers is wrong, because data still moves between host and device and those transfers must be kept low. Disk size and process-per-row scheduling do not explain the speedup.
  2. Question 2
    A team wants to run an existing pandas script on an NVIDIA GPU with minimal code changes. Which approach fits best?
    • A.
      Rewrite every pandas call by hand as a CUDA kernel
    • B.
      Convert the script to a Spark job that runs on a single CPU core
    • C.
      Load the cudf.pandas accelerator so unmodified pandas code runs on the GPU where supported
    • D.
      Replace the DataFrame with a plain Python dictionary of lists, then rebuild each join and groupby by hand
    Show answer

    Correct answer:

    • C.
      Load the cudf.pandas accelerator so unmodified pandas code runs on the GPU where supported

    Explanation

    The cudf.pandas accelerator intercepts supported pandas operations and runs them on the GPU, falling back to CPU pandas for anything unsupported, so the script keeps working unchanged. Hand-writing kernels is the most tempting route to speed, but it demands far more effort than the task needs. A Spark job on one CPU core gains nothing, and a dictionary of lists removes the DataFrame operations altogether.
Exam detail

About NVIDIA NCA-ADS

Related Practice Questions

We help aspirants prepare for the NVIDIA certification exam without spending money on preparation materials. Many candidates download the NCA-ADS NVIDIA-Certified Associate: Accelerated Data Science practice questions PDF here. You can easily download NVIDIA NCA-ADS PDF practice questions for free. If you have any questions about the exam product, you can view the comments. You can also publish comments about NCA-ADS exam questions in PDF format.
FAQ

NCA-ADS FAQ

What is the NVIDIA NCA-ADS exam?

NCA-ADS is the NVIDIA-Certified Associate: Accelerated Data Science exam. The exam runs for 60 minutes.

How many questions are in the NCA-ADS practice set?

The full NCA-ADS practice set has 100 questions with answers.

Can I try NCA-ADS practice questions for free?

Yes. This page has 2 free NCA-ADS PDF files shared by other candidates, and a free online test engine where you can answer NCA-ADS questions in your browser. No account is needed.

What formats are the NCA-ADS practice questions available in?

NCA-ADS practice questions are available in these formats: PDF and Online Practice Exam. You can also get them together in a bundle.

How much does NCA-ADS practice material cost?

NCA-ADS practice material starts from $49 USD.

Are these the actual NCA-ADS exam questions?

No. They are exam-style practice questions written from the official NCA-ADS exam objectives, not actual exam content.

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