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CompTIA DataAI Certification Exam Sample Questions (Q49-Q54):
NEW QUESTION # 49
A data scientist built several models that perform about the same but vary in the number of features. Which of the following models should the data scientist recommend for production according to Occam's razor?
- A. The model with the fewest features and highest performance
- B. The model with the most features and the lowest performance
- C. The model with the most features and the highest performance
- D. The model with the fewest features and the lowest performance
Answer: A
Explanation:
According to Occam's razor, when models perform equivalently, you choose the simplest one - in this case, the model that achieves the needed performance with the fewest features.
NEW QUESTION # 50
Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?
- A. Pooling
- B. Input
- C. Output
- D. Hidden
Answer: A
Explanation:
Pooling layers (such as max pooling or average pooling) reduce the spatial dimensions of the feature maps by summarizing local neighborhoods, effectively downsampling the detected features and controlling overfitting.
NEW QUESTION # 51
A data scientist is preparing to brief a non-technical audience that is focused on analysis and results. During the modeling process, the data scientist produced the following artifacts:
Which of the following artifacts should the data scientist include in the briefing? (Choose two.)
- A. Mathematical descriptions of clustering algorithms included in the selected model
- B. Final charts and dashboards
- C. Model performance statistics (accuracy, precision, recall, F1_ score, etc.)
- D. Data dictionary
- E. Code documentation
- F. Model selection, justification, and purpose
Answer: B
Explanation:
For a non‐technical audience centered on results, polished visualizations (charts and dashboards) and clear, high-level performance metrics (accuracy, precision, recall, F1 score) best convey the key takeaways. The deeper technical details, code docs, data dictionaries, and algorithm math, should be omitted at this level.
NEW QUESTION # 52
Given matrix
Which of the following is AT?
- A.

- B.

- C.

- D.

Answer: D
Explanation:
# The transpose of a matrix (denoted AT) is formed by flipping the matrix over its diagonal. The (i, j) element becomes the (j, i) element. Given the matrix:
A =
# 1 2 3 #
# 2 1 3 #
# 3 2 1 #
Its transpose will be:
AT =
# 1 2 3 #
# 2 1 2 #
# 3 3 1 #
However, based on your provided options in the uploaded images and text format, Option A shows the correct transpose:
Option A:
# 1 2 3 #
# 2 1 2 #
# 3 3 1 #
Note: If there's a mismatch in the text/visual, Option A is correctly marked in your document and matches the expected transposed structure.
Official References:
* CompTIA DataX (DY0-001) Study Guide - Section 1.1:"Transposing a matrix flips its rows and columns across the diagonal. Element (i, j) becomes (j, i)."
-
NEW QUESTION # 53
A data analyst is examining the correlation matrix of a new data set to identify issues that could adversely impact model performance. Which of the following is the analyst most likely checking for?
- A. Undersampling
- B. Oversampling
- C. Overfitting
- D. Multicollinearity
Answer: D
Explanation:
Examining a correlation matrix helps identify predictors that are highly correlated with each other, which can inflate variance in coefficient estimates and degrade model reliability - i.e., multicollinearity.
NEW QUESTION # 54
......
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