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DASCA Senior Data Scientist Sample Questions (Q43-Q48):

NEW QUESTION # 43
Which of the following is TRUE for Business Metamorphosis?

A. All of the above
B. Business Metamorphosis exercise can uncover Big Data requirements around decisions, analytics and data sources that can be leveraged to transform or metamorphose your organization's business model
C. Both A and C
D. The Business Metamorphosis phase is where organizations integrate the insights that they captured about their customers' usage patterns, product performance behaviors, and overall market trends to transform their business models
E. The Business Metamorphosis phase helps drive an organization's core business model through the analytic insights gathered as the organization traverses the Big Data Business Model Maturity Index

Answer: A

Explanation:
Business Metamorphosis is the most advanced phase in the Big Data Business Model Maturity Index (BDBMMI), where organizations fundamentally transform their business models through analytics-driven insights.
Option A: Correct. This phase helps organizations identify big data requirements related to decisions, analytics, and sources that drive business transformation.
Option B: Correct. Organizations integrate customer usage patterns, product behaviors, and market trends into their decision-making to redesign or innovate their business model.
Option C: Correct. Business Metamorphosis ensures that the core business model evolves continuously, guided by insights derived across maturity stages.
Since all are correct, the best answer is Option E (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications of Data Science: Big Data Business Model Maturity Index.

NEW QUESTION # 44
Which of the following is an SLAs specification in case of Internet Service Provider (ISP)?

A. All of the above
B. Mean Time Between Failures (MTBF)
C. Mean Time To Recovery (MTTR)
D. Turnaround Time (TAT)

Answer: A

Explanation:
Service Level Agreements (SLAs) define performance commitments between service providers (like ISPs) and customers. Key SLA metrics include:
MTBF (Option A): Measures reliability by defining the expected average time between service failures.
MTTR (Option B): Measures availability by defining how quickly service can be restored after a failure.
TAT (Option C): Measures responsiveness in resolving customer requests or incidents.
All three are standard SLA performance specifications. Hence, the correct answer is Option D (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Data Engineering and IT Practices: SLAs and Performance Metrics.

NEW QUESTION # 45
Spark is written in:

A. C++
B. Java
C. C
D. Scala
E. Python

Answer: D

Explanation:
Apache Spark is an open-source distributed computing framework widely used for big data processing and machine learning pipelines.
The core implementation of Spark is written in Scala (Option A), which runs on the JVM (Java Virtual Machine).
Spark also provides APIs for Java, Python (PySpark), R, and SQL, but its native language is Scala.
Options C (C) and D (C++) are incorrect; Spark is not written in these languages.
Python (Option E) is a supported API, but Spark itself is not written in Python.
Thus, the correct answer is Scala (Option A).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Programming Tools for Big Data & Distributed Computing.

NEW QUESTION # 46
Business Intelligence (BI) is:

A. Both B and C
B. Both A and B
C. BI focuses on "What happened?"
D. BI focuses on descriptive analytics
E. BI focuses on reporting on the future state of the business

Answer: B

Explanation:
Business Intelligence (BI) is primarily focused on descriptive analytics and reporting - understanding historical and current business performance.
Option A (Descriptive analytics): Correct. BI uses dashboards, reports, and OLAP tools to summarize what has occurred in the past.
Option B ("What happened?"): Correct. BI answers retrospective questions by analyzing transactional and operational data.
Option C (Future state): Incorrect. Predicting future business outcomes falls under predictive analytics or advanced analytics, not BI.
Thus, the correct answer is Option D (Both A and B).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Data Visualization & BI: Descriptive Analytics and Reporting.

NEW QUESTION # 47
SpamAssassin has been developed to detect:

A. Spam emails
B. None of the above
C. Email with virus
D. Email with big attachments

Answer: A

Explanation:
Apache SpamAssassin is one of the most widely used open-source tools for spam email detection.
It applies a rule-based system combined with Bayesian filtering, heuristics, and collaborative filtering methods to classify incoming emails as spam or legitimate.
Option A (Spam emails): Correct, this is the main function.
Option B (Big attachments): Incorrect. Large attachment filtering is not its primary purpose.
Option C (Email with virus): Incorrect. That falls under antivirus or malware detection tools, not SpamAssassin.
Option D: Incorrect since A is valid.
Thus, the correct answer is Option A (Spam emails).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications of Data Science: Email Filtering and Text Mining.

NEW QUESTION # 48
......

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Hot Valid SDS Exam Sims | Valid DASCA SDS: Senior Data Scientist 100% Pass

Prep SDS Guide, SDS Certification Questions

DASCA Senior Data Scientist Sample Questions (Q43-Q48):

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