ISACA Data Science Fundamentals Certification Sample Questions

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ISACA Data Science Fundamentals Sample Questions:

01. Evaluation shows a model performing far better on the records it was trained on than on the held-back records. What is the appropriate NEXT step in the process?

a) Deploy the model and monitor whether the gap narrows once live data begins arriving

b) Retrain the model on the held-back records so that it performs well on those too

c) Return to modeling and address the gap before considering release

d) Report the training performance to the sponsor, since it reflects what the model has learned

02. A membership organization cleanses its address data every quarter, and every quarter the same categories of error reappear because the entry form accepts almost anything typed into it. Which change would MOST reduce the recurrence?

a) Encrypt the address data so that it cannot be read by unauthorized parties

b) Apply validation rules at the point of entry so invalid values cannot be captured

c) Archive older address records so the cleansing run examines fewer records

d) Increase the frequency of the cleansing runs so that errors are corrected sooner after capture

03. Which capability records where a data element originated and what happened to it on the way to a report?

a) Data lineage

b) Data compression

c) Data replication

d) Data partitioning

04. A media company must land large volumes of incoming files quickly, and several analytics groups each want to interpret the same files differently. Management asks what the organization gives up by deferring structure until query time rather than enforcing it on ingest.

Which consequence is MOST directly created by that choice?

a) Historical files must be reloaded whenever an analytics group changes its interpretation

b) Analytics groups lose the ability to apply their own definitions to the shared source files

c) The organization can no longer store files whose format was not anticipated in advance

d) Every consuming query becomes responsible for interpreting the data correctly

05. An insurance company is monitoring a fraud detection model running in production. Analysts find that prediction accuracy has fallen because recent claims data differs substantially from the historical data the model was trained on. Which issue is MOST likely affecting the model?

a) Model drift, as incoming data no longer matches the training data

b) Overfitting, where the model learned noise in the training data and never generalized

c) Underfitting, where the model was always too simple to capture the pattern

d) Poor quality in the original training data

06. A partner sends a large data file each night, and the receiving team wants assurance that the file has not been altered or truncated in transit before it is loaded. Which technique supplies that assurance?

a) Profiling the file to establish which values its columns contain

b) Comparing a check value computed for the received file with the sender's value

c) Compressing the file so that the overnight transfer completes in a considerably shorter window

d) Encrypting the file so that its contents cannot be read by any outsider while it is in transit

07. Why is a deployed model reviewed periodically even when its measured performance has remained steady?

a) The business circumstances it was built for may have moved on

b) Its measured performance figures may need recalculating on a different set of records

c) Its documentation must be reissued regularly

d) Every model must be retrained after a fixed interval regardless of how it is performing

08. After several modeling attempts, no candidate comes close to the performance the sponsor set as the threshold for usefulness. Which response BEST reflects the lifecycle?

a) Release the best-performing candidate even if it falls short of the threshold

b) Return to the sponsor to re-examine whether the objective is achievable

c) Lower the threshold to the level the best candidate achieved and record the change

d) Continue training further candidates until one reaches the threshold

09. What normally triggers a decision to retrain a model that is running in production?

a) The end of the organization's own financial reporting period each year

b) A request from an analyst who would like to try a different technique

c) Monitored performance falling below the level agreed as acceptable

d) The arrival of a new release of the platform the model is deployed on

10. A financial services organization is reviewing identity and access management controls over analytical repositories that hold sensitive customer transaction data. Auditors discover that several former contractors still hold active access privileges months after their projects ended.

Which control weakness is MOST directly indicated?

a) Absence of encryption applied to customer transaction data at rest

b) Insufficient logging and monitoring of queries run against the repository

c) Missing data classification labels

d) Weak user access review and deprovisioning of departing personnel

Answers:

Question: 01 Answer: c	Question: 02 Answer: b	Question: 03 Answer: a	Question: 04 Answer: d	Question: 05 Answer: a
Question: 06 Answer: b	Question: 07 Answer: a	Question: 08 Answer: b	Question: 09 Answer: c	Question: 10 Answer: d

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