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100% Pass High Hit-Rate DASCA - SDS Latest Exam Cram

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100% Pass High Hit-Rate DASCA - SDS Latest Exam Cram

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DASCA Senior Data Scientist Sample Questions (Q21-Q26):NEW QUESTION # 21
ElementTree sub-library gives us direct access to:
  • A. None of the above
  • B. Copy tree of the XML
  • C. Parse tree of the XML
  • D. Delete tree of the XML
  • E. Insert tree of the XML
Answer: C
Explanation:
In Python, the ElementTree module (part of the standard library xml.etree.ElementTree) provides a simple and efficient API for parsing and creating XML data.
The main feature of ElementTree is its ability to provide direct access to the parse tree of an XML document.
This allows developers to:
Parse XML into an in-memory tree structure.
Traverse, search, modify, and extract information from XML elements.
Write back changes into XML files.
Options B, C, and D (Delete, Copy, Insert tree) are not standard terminology in XML handling with ElementTree. While you can delete, insert, or copy elements, the module itself primarily gives parse tree access.
Thus, the correct answer is Option A (Parse tree of the XML).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Programming for Data Science: XML/JSON Handling in Python.

NEW QUESTION # 22
Data wrangling is the process of getting the data from:
  • A. None of the above
  • B. Both A and B
  • C. Its modified meaning format into something suitable for more conventional analytics
  • D. Its raw format into something suitable for more conventional analytics
Answer: D
Explanation:
Data wrangling (also called data munging) refers to transforming raw, messy, or unstructured data into a clean and structured format suitable for analysis.
Option A: Correct. Raw data often contains missing values, duplicates, or irregular formats. Wrangling prepares it for conventional analytics and machine learning.
Option B: Incorrect. Wrangling does not involve "modified meaning"; it focuses on cleaning, structuring, and integrating.
Option C: Incorrect, since only A is correct.
Option D: Incorrect, because wrangling is explicitly described in A.
Thus, the correct answer is Option A.
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Data Engineering Practices: Data Wrangling & Preprocessing.

NEW QUESTION # 23
What is Scrum?
  • A. Scrum and Agile are the same
  • B. None of the above
  • C. Agile is a subset of Scrum
  • D. Scrum is a subset of Agile
Answer: D
Explanation:
Scrum is a framework used to implement Agile principles. Agile itself is the overarching philosophy or mindset, while Scrum is one of the most popular frameworks that apply Agile values in practice.
Option A (Correct): Scrum is indeed a subset of Agile. Agile defines the principles (from the Agile Manifesto), and Scrum provides the structure (roles, artifacts, ceremonies).
Option B: Incorrect. Agile is broader and not a subset of Scrum.
Option C: Incorrect. Scrum and Agile are not the same; Agile is the philosophy, Scrum is a methodology under Agile.
Option D: Incorrect because Option A is valid.
Thus, the correct answer is Option A: Scrum is a subset of Agile.
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Agile and Scrum in Data Science Projects.

NEW QUESTION # 24
Which of the following is NOT a process of Use Case?
  • A. Understand your organization's key business initiatives or business challenge
  • B. Identify your key business stakeholders
  • C. Brainstorm the outcomes that the key stakeholders need to answer to facilitate making the decisions
  • D. Brainstorm the questions that the key stakeholders need to answer to facilitate making the decisions
  • E. Capture the decisions that the key business stakeholders need to make in order to support the organization's key business initiatives
Answer: C
Explanation:
Use Case Development in data science projects involves identifying business needs and mapping analytics to business decisions. The standard steps include:
Option A: Understanding the key initiatives or challenges.
Option B: Identifying the key stakeholders.
Option C: Capturing the decisions stakeholders must make.
Option E: Brainstorming the questions stakeholders need answered to support decisions.
However:
Option D (Brainstorm the outcomes stakeholders need to answer): Incorrect phrasing. It is not "outcomes" that are brainstormed but questions and decisions.
Thus, the correct answer is Option D.
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Business Use Case Development Process.

NEW QUESTION # 25
Which of the following is a DevOps Practice?
  • A. All of the above
  • B. Continuous delivery
  • C. Continuous build
  • D. Continuous integration
Answer: A
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 # 26
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