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DASCA Senior Data Scientist Sample Questions (Q61-Q66):
NEW QUESTION # 61
Which of the following standardizes scores similar to a percentile rank but preserves equal interval properties of a Z-score?
- A. None of the above
- B. Medium Curve Equivalent (MCE)
- C. Normal Curve Equivalent (NCE)
- D. High Curve Equivalent (HCE)
- E. Trend analysis
Answer: C
Explanation:
Normal Curve Equivalent (NCE) scores are standardized scores designed to:
Range between 1 and 99.
Be comparable to percentile ranks but with the advantage of equal-interval properties like Z-scores.
This makes NCE scores useful in educational assessments, survey analysis, and statistical modeling.
Option A (Trend analysis): Incorrect. Not related to score standardization.
Option B (Correct): NCE fits the definition perfectly.
Option C (HCE) & D (MCE): Not recognized standard measures in statistics.
Option E: Incorrect, since Option B is valid.
Thus, the correct answer is Option B: Normal Curve Equivalent (NCE).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Statistical Methods in Data Science: Z-scores, Percentiles, and NCE.
NEW QUESTION # 62
Which of the following is correct for Markov chain?
- A. Both B and C
- B. Both A and B
- C. A Markov chain is the state of a system at sequential points in time
- D. A Markov chain is a sequence of fixed variables X1, X2
- E. A Markov chain is a sequence of random variables X1, X2
Answer: A
Explanation:
A Markov chain is a stochastic process describing a sequence of possible events, where the probability of each event depends only on the state attained in the previous step (the Markov property).
Option A: Incorrect. The variables are random, not fixed.
Option B: Correct. Markov chains represent the state of a system at sequential time points.
Option C: Correct. A Markov chain is indeed a sequence of random variables {X1, X2, ...} that satisfy the Markov property.
Option D: Incorrect, since A is wrong.
Option E: Correct, because both B and C are valid.
Thus, the correct answer is Option E (Both B and C).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Probabilistic Models: Markov Chains.
NEW QUESTION # 63
Semi-structured data does NOT include:
- A. Scientific data
- B. File systems
- C. Schema-full data
- D. Database system
Answer: C
NEW QUESTION # 64
Which of the following phases is NOT a Big Data Business Model Maturity Index?
- A. Data Monetization
- B. Business Optimization
- C. Business Strategy
- D. Business Monitoring
- E. Business Metamorphosis
Answer: C
Explanation:
The Big Data Business Model Maturity Index (BDBMMI) defines phases organizations pass through in leveraging data strategically:
Business Monitoring (A): Tracking metrics and reporting.
Business Insights (not listed in options but part of the framework).
Business Optimization (B): Using analytics to improve efficiency.
Data Monetization (D): Creating new revenue streams with data.
Business Metamorphosis (E): Transforming the business model through data.
Business Strategy (Option C): While strategy is essential, it is not one of the defined phases of BDBMMI.
Thus, the correct answer is Option C (Business Strategy).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Big Data Business Model Maturity Index (BDBMMI).
NEW QUESTION # 65
Which of the following is a DevOps Practice?
- A. Continuous build
- B. Continuous delivery
- C. All of the above
- D. Continuous integration
Answer: C
Explanation:
DevOps is a collaborative practice that integrates software development (Dev) and IT operations (Ops) to shorten development cycles and deliver applications reliably. Common DevOps practices include:
Continuous Build (Option A): Automating compilation and packaging of source code to ensure consistent builds.
Continuous Integration (Option B): Developers frequently merge code into a shared repository, which is automatically tested to catch integration issues early.
Continuous Delivery (Option C): Automating software release pipelines so applications can be deployed to production quickly and reliably.
Since all of these are essential DevOps practices, the correct answer is Option D (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications of Data Science: DevOps Practices in Data Science Projects.
NEW QUESTION # 66
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