CompTIA DY0-001 Exam Practice Questions to Pass CompTIA DataAI Exam

Question 1

Which of the following issues should a data scientist be most concerned about when generating a synthetic data set?

AThe data set consuming too many resources

BThe data set having insufficient features

CThe data set having insufficient row observations

DThe data set not being representative of the population

Answer : D

If synthetic data don't accurately mirror the real-world distributions and relationships, any models trained on them will perform poorly in deployment. Representativeness is the critical concern when generating synthetic data.

Question 2

A data scientist is using the following confusion matrix to assess model performance:

The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops. Every time the model is correct, the company saves an hour in planning and scheduling of maintenance work. Every time the model is wrong, the company loses four hours of delivery time for the truck. Which of the following is the net model impact for the company?

A25 hours lost

B25 hours saved

C165 hours lost

D165 hours saved

Answer : A

Treat each ''predicted-to-fail'' and ''predicted-to-succeed'' row as coming from 100 cases apiece (200 total).

Question 3

Which of the following does k represent in the k-means model?

ANumber of model tests

BNumber of data splits

CNumber of clusters

DDistance between features

Answer : C

In k-means clustering, the parameter k directly defines how many clusters the algorithm will partition the data into.

Question 4

Which of the following distance metrics for KNN is best described as a straight line?

ARadial

BEuclidean

CCosine

DManhattan

Answer : B

Euclidean distance measures the straight-line distance between two points in space, matching the geometric ''as-the-crow-flies'' notion of distance.

Question 5

A data scientist is presenting the recommendations from a monthslong modeling and experiment process to the company's Chief Executive Officer. Which of the following is the best set of artifacts to include in the presentation?

AMethods, data overview, results, recommendations, and charts

BResults, recommendations, justifications, and clear charts

CRecommendation charts justifications code reviews and results

DMethodology, code snippets, findings, data tables, and p values

Answer : B

Executive audiences need concise, high-level insights: what you found (results), what you suggest (recommendations), why it matters (justifications), and visual summaries (clear charts). Detailed methods, code, or raw data aren't appropriate at the C-suite level.

Question 6

Which of the following measures would a data scientist most likely use to calculate the similarity of two text strings?

AWord cloud

BEdit distance

CString indexing

Dk-nearest neighbors

Answer : B

Edit distance quantifies how many single-character insertions, deletions, or substitutions are needed to transform one string into another, making it a direct measure of their similarity.

Question 7

A data scientist is standardizing a large data set that contains website addresses. A specific string inside some of the web addresses needs to be extracted. Which of the following is the best method for extracting the desired string from the text data?

ARegular expressions

BNamed-entity recognition

CLarge language model

DFind and replace

Answer : A

CompTIA DataAI Certification Exam DY0-001 Practice Questions