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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA DataAI Certification Exam (V1) |
| Exam Number: | DY0-001 |
| Passing Score: | Pass/Fail (no scaled score) |
| Exam Format: | Performance-based questions, Multiple-choice |
| Certificate Validity Period: | Approximately 3 years from launch (retirement expected around 2027) |
| Available Languages: | Japanese, English |
| Real Exam Qty: | Up to 90 |
| Related Certifications: | CompTIA DataX |
| Exam Duration: | 165 minutes |
| Recommended Training: | CompTIA CertMaster Learn (DataAI) CompTIA Official Training Partners |
| Exam Registration: | Pearson VUE CompTIA Registration CompTIA DataAI Official Page |
| Sample Questions: | CompTIA DY0-001 Sample Questions |
| Exam Way: | Test center or online proctored exam (Pearson VUE) |
| Pre Condition: | Recommended: 5+ years experience in data science, analytics, or related technical roles |
| Official Syllabus URL: | https://www.comptia.org/en-us/certifications/dataai/ |
誰もが、彼または彼女が社会生活や彼のキャリアにおいて成功した男性または女性であることを望んでいます。したがって、特定の分野で実用的な能力と深い知識を高めることが証明されるため、CompTIA承認された重要なDY0-001証明書を所有することは彼らにとって非常に重要です。 DY0-001認定に合格すると、彼らは成功することができます。もしあなたがその1人であるなら、DY0-001試験トレントを購入してください。
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質問 # 73
A data scientist is clustering a data set but does not want to specify the number of clusters present. Which of the following algorithms should the data scientist use?
正解：A
解説：
DBSCAN discovers clusters based on density without requiring you to predefine the number of clusters, automatically finding arbitrarily shaped groups and identifying noise points.
質問 # 74
Which of the following distributions would be best to use for hypothesis testing on a data set with 20 observations?
正解：B
解説：
# For small sample sizes (typically n < 30), the Student's t-distribution is preferred over the normal distribution for hypothesis testing because it accounts for the added uncertainty in the estimate of the standard deviation. With 20 observations, the t-distribution is more appropriate and reliable.
Why the other options are incorrect:
* A: Power law is used in modeling rare events or heavy-tailed distributions, not hypothesis testing.
* B: The normal distribution is more appropriate when the sample size is large.
* C: Uniform distribution assumes equal probability - not used in inferential statistics.
Official References:
* CompTIA DataX (DY0-001) Study Guide - Section 1.3:"The t-distribution is used for small sample hypothesis testing where the population standard deviation is unknown."
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質問 # 75
Which of the following best describes the minimization of the residual term in a LASSO linear regression?
正解：D
解説：
# LASSO (Least Absolute Shrinkage and Selection Operator) regression minimizes the squared residuals (e²), just like OLS, but adds an L1 penalty to encourage sparsity in the coefficients. Thus, the residual component minimized is still the sum of squared errors.
Why the other options are incorrect:
* A: |e| is absolute error, not used in standard LASSO objective.
* B: e is the error term, but minimization applies to its squared version.
* C: Minimizing to exactly 0 is idealistic but not realistic.
Official References:
* CompTIA DataX (DY0-001) Study Guide - Section 3.3:"LASSO minimizes squared errors with an additional L1 regularization term."
* Elements of Statistical Learning, Chapter 6:"LASSO regression uses the same residual sum of squares (e²) as OLS for error measurement, with an added constraint."
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質問 # 76
Given matrix
Which of the following is AT?
正解：A
解説：
# 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)."
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質問 # 77
Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?
正解：C
解説：
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.
質問 # 78
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DY0-001試験解答: https://www.pass4test.jp/DY0-001.html
2026年Pass4Testの最新DY0-001 PDFダンプおよびDY0-001試験エンジンの無料共有：https://drive.google.com/open?id=1KahBfAib7UdJlJXmyAHHIJixkwdgzGTQ