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New SDS Practice Questions Will Be Your Wisest Choice to Pass Senior Data Scientist

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Quiz SDS - Senior Data Scientist –High Pass-Rate New Practice Questions

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DASCA Senior Data Scientist Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which of the following is TRUE for Tensor?

A. All of the above
B. Both B and C
C. In Tensor, there can be arbitrarily many dimensions to the array
D. Tensor is an array of floating-point numbers
E. Tensor is used to describe multidimensional arrays of numbers on which we perform linear operations

Answer: A

Explanation:
A Tensor is a fundamental data structure in modern machine learning frameworks (e.g., TensorFlow, PyTorch). It is best described as a generalization of vectors and matrices to potentially higher dimensions.
Option A: Correct. Tensors typically store numeric values (commonly floating-point numbers) in structured formats.
Option B: Correct. A tensor can have any number of dimensions (rank). For example:
A scalar is a 0-D tensor.
A vector is a 1-D tensor.
A matrix is a 2-D tensor.
Higher-rank tensors can represent images, videos, or multidimensional datasets.
Option C: Correct. Tensors are explicitly designed to allow linear algebra operations, which are the foundation of deep learning computations (matrix multiplications, dot products, etc.).
Therefore, since all three statements are true, the correct answer is Option E (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Analytics and Machine Learning, Deep Learning Concepts; Official DASCA Study Guide.

NEW QUESTION # 37
Which of these statements reflects a null hypothesis?

A. Women will score higher than men on empathy
B. As temperature increases, so too will the level of aggression
C. There will be no relationship between caffeine consumption and performance
D. Men will score higher than women on spatial awareness
E. There will be a significant difference between group 1 and group 2

Answer: C

Explanation:
A null hypothesis (H#) is the default assumption in statistical testing that there is no effect, no difference, or no relationship between variables.
Option A: Correct. This states explicitly that there is no relationship between caffeine consumption and performance # fits the definition of a null hypothesis.
Options B, C, D, E: These all hypothesize differences or relationships # they are examples of alternative hypotheses (H#), not null.
Thus, the correct answer is Option A.
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Statistics in Data Science: Hypotheses, Errors, and Testing.

NEW QUESTION # 38
The main purpose of a Statement Of Work (SOW) is to get:

A. All of the above
B. None of the above
C. What the priorities are
D. What expectations are realistic
E. Everybody on the same page about what work should be done

Answer: A

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 # 39
The DevOps movement is an outgrowth of which of the following software development methodologies?

A. Promise-based algorithms
B. Test-driven development and model-driven development
C. Waterfall
D. Agile

Answer: D

Explanation:
The DevOps movement evolved as a natural extension of the Agile methodology.
Agile (Option A): Agile emphasizes iterative development, collaboration, and flexibility. While Agile improved software development speed, it created challenges in integrating development with IT operations.
DevOps emerged to address this by bringing operations into the Agile cycle - enabling continuous integration, delivery, and deployment.
Waterfall (Option B): Incorrect. Waterfall is a rigid, sequential methodology, fundamentally opposite to the DevOps philosophy.
Promise-based algorithms (Option C): Not a methodology - irrelevant here.
Test-driven development and model-driven development (Option D): While these practices support DevOps, they are not the origin of the movement.
Thus, the DevOps movement is an outgrowth of Agile methodology.
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Agile and DevOps in Data Science Projects.

NEW QUESTION # 40
What is TRUE for "rehashing"?

A. All of the above
B. Both A and B
C. Allocate a new, larger hash table in memory
D. It requires a new hash function, which maps values into a larger range of integers
E. Key/value pairs from the original table can be inserted into the new, larger one

Answer: A

Explanation:
Rehashing is a technique used in dynamic hash tables when the load factor (ratio of entries to bucket size) exceeds a certain threshold. It ensures efficient lookup, insertion, and deletion operations.
Option A (Correct): A larger hash table is allocated in memory to accommodate more entries.
Option B (Correct): A new hash function is typically required to map keys into the expanded table range.
Option C (Correct): All key-value pairs from the old table are re-inserted (rehashed) into the new table using the new hash function.
Since all three conditions (A, B, and C) are true, the best choice is Option E (All of the above).
Reference:
DASCA Data Scientist Knowledge Framework (DSKF) - Programming for Data Science: Data Structures & Hashing Techniques

NEW QUESTION # 41
......

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