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NVIDIA-Certified Professional: Accelerated Data Science NCP-ADS

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

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

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

  1. Question 1
    A team needs to process a 2 TB Parquet dataset across four GPUs on one server. Which library combines Dask scheduling with cuDF partitions to do this?
    • A.
      pandas running in a single Python thread on the host CPU, one partition at a time
    • B.
      Dask-cuDF, which partitions the data across GPU workers
    • C.
      cuML, which trains models on a single device
    • D.
      Matplotlib, which renders each partition as a chart
    Show answer

    Correct answer:

    • B.
      Dask-cuDF, which partitions the data across GPU workers

    Explanation

    Dask-cuDF splits a DataFrame into partitions that GPU workers process in parallel, which suits data larger than one GPU's memory. Single-threaded pandas is the slow CPU path, and cuML trains models rather than managing partitioned data. Matplotlib only draws charts.
  2. Question 2
    Which cuDF operation is the GPU equivalent of the pandas method that fills missing numeric values with a computed statistic?
    • A.
      dropna, which removes rows that contain missing values
    • B.
      drop_duplicates, which removes repeated rows from the table
    • C.
      fillna, which replaces missing values with a computed statistic such as the mean
    • D.
      astype, which changes the dtype of each column after the missing values have been counted by hand
    Show answer

    Correct answer:

    • C.
      fillna, which replaces missing values with a computed statistic such as the mean

    Explanation

    The fillna method replaces missing values with a constant or a computed statistic such as the column mean. The dropna method removes rows instead of filling them, which is the tempting mix-up. The drop_duplicates and astype methods do not touch missing values.
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About NVIDIA NCP-ADS

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We help aspirants prepare for the NVIDIA certification exam without spending money on preparation materials. Many candidates download the NCP-ADS NVIDIA-Certified Professional: Accelerated Data Science practice questions PDF here. You can easily download NVIDIA NCP-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 NCP-ADS exam questions in PDF format.
FAQ

NCP-ADS FAQ

What is the NVIDIA NCP-ADS exam?

NCP-ADS is the NVIDIA-Certified Professional: Accelerated Data Science exam. The exam runs for 120 minutes.

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

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

Can I try NCP-ADS practice questions for free?

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

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

NCP-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 NCP-ADS practice material cost?

NCP-ADS practice material starts from $59 USD.

Are these the actual NCP-ADS exam questions?

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

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