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[General] Free Download High SDS Passing Score & Guaranteed DASCA SDS Exam Success wit

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【General】 Free Download High SDS Passing Score & Guaranteed DASCA SDS Exam Success wit

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P.S. Free & New SDS dumps are available on Google Drive shared by RealExamFree: https://drive.google.com/open?id=1XoT4XyNxKKgIU97H__6H5epiw5uQiRo8
Each format has a pool of Senior Data Scientist (SDS) actual questions which have been compiled under the guidance of thousands of professionals worldwide. Questions in this product will appear in the DASCA SDS final test. Hence, memorizing them will help you get prepared for the SDS examination in a short time. The product of RealExamFree comes in PDF, desktop practice exam software, and SDS web-based practice test. To give you a complete understanding of these formats, we have discussed their features below.
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DASCA Senior Data Scientist Sample Questions (Q50-Q55):NEW QUESTION # 50
Image files can be broken down into two broad categories:
i. Rasterized
ii. Vectorized
iii. Sectorized
  • A. None of the above
  • B. i, iii
  • C. i, ii
  • D. ii, iii
Answer: C
Explanation:
Images are broadly categorized based on how they store visual information:
Rasterized images (Option i):
Composed of a grid of pixels (bitmap).
Each pixel has color information.
Examples: JPEG, PNG, BMP.
Best for photos or complex visuals.
Vectorized images (Option ii):
Composed of paths defined by mathematical formulas.
Scalable without quality loss.
Examples: SVG, EPS, AI.
Best for logos, icons, and illustrations.
Sectorized images (Option iii):
Not a standard category in computer graphics.
Thus, image files are categorized into Rasterized and Vectorized, making Option A (i, ii) correct.
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Data Types & Multimedia Data Management.

NEW QUESTION # 51
The main purpose of a Statement Of Work (SOW) is to get:
  • A. None of the above
  • B. Everybody on the same page about what work should be done
  • C. What expectations are realistic
  • D. What the priorities are
  • E. All of the above
Answer: E
Explanation:
A Statement of Work (SOW) is a formal document that defines the scope, objectives, deliverables, timeline, and expectations of a project. In data science and IT projects, it ensures:
Clarity of scope (Option A): Everyone understands exactly what work should be done.
Clear priorities (Option B): It defines what is most critical for success.
Realistic expectations (Option C): It aligns stakeholders by setting measurable and achievable goals.
Since all of these are essential purposes of an SOW, the correct answer is Option D (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications: Project Governance and SOW.

NEW QUESTION # 52
Which of the following is NOT a part of Internal Process Optimization?
  • A. Business Optimization
  • B. None of the above
  • C. Business Monitoring
  • D. Business Metamorphosis
  • E. Business Insights
Answer: D
Explanation:
Internal Process Optimization (IPO) is one of the core applications of data science in business operations. It focuses on improving internal efficiency, reducing costs, and enhancing productivity using data-driven insights.
Typical components of IPO include:
Business Monitoring (Option A): Tracking performance metrics and KPIs in real time.
Business Insights (Option C): Identifying trends, anomalies, and inefficiencies through analytics.
Business Optimization (Option D): Applying data models to optimize workflows, resource utilization, or supply chains.
However:
Business Metamorphosis (Option B): Refers to fundamental transformational change or reinvention of a business model, not process-level optimization. This is more aligned with strategic transformation, not internal process optimization.
Therefore, the correct answer is Option B (Business Metamorphosis).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications of Data Science: Internal Process Optimization.

NEW QUESTION # 53
What is the agenda of discussion at a "stand up" meeting of an Agile team?
  • A. What they accomplished the previous day
  • B. Both A and B
  • C. All of the above
  • D. Any roadblocks they are running into
  • E. What they are planning to do today
Answer: C
Explanation:
A daily stand-up meeting (also called a daily Scrum) is a short meeting (usually 15 minutes) that Agile teams hold to synchronize progress. Its agenda is structured around three key questions:
What was accomplished yesterday? (Progress review).
What is planned for today? (Work alignment).
What impediments or roadblocks exist? (Barriers identification).
This process enhances transparency, communication, and accountability, ensuring the team can quickly address obstacles and stay aligned with sprint goals.
Option A: Correct - yesterday's work is discussed.
Option B: Correct - today's planned tasks are outlined.
Option C: Correct - roadblocks are highlighted.
Option D: Incomplete since it misses C.
Option E: Correct - covers all agenda items.
Thus, the correct answer is Option E (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Agile Practices in Data Science Projects.

NEW QUESTION # 54
The Big Data Vision Workshop process is ideal for organizations who:
  • A. Have a desire to leverage the Big Data Vision Workshop to identify where and how to leverage data and analytics to power their business models
  • B. Both A and B
  • C. All of the above
  • D. Have a wealth of data that they do not know how to monetize
  • E. Have a desire to leverage Big Data to transform their business but do not know where and how to start
Answer: C
Explanation:
The Big Data Vision Workshop is an early-phase framework designed to help organizations shape their data- driven transformation journey. It is particularly beneficial when:
Option A: Organizations want to leverage big data but lack clarity on where to start.
Option B: Organizations already have large volumes of data but struggle to derive monetization strategies from it.
Option C: Organizations want to identify use cases where data and analytics can enhance or even redefine their business models.
Since all three statements apply, the correct answer is Option E (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Applications of Data Science: Big Data Vision Workshop.

NEW QUESTION # 55
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