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Certificate in Computation and Data Enabled Science Engineering Exam

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The Certificate in Computation and Data Enabled Science Engineering Exam is designed for professionals seeking to demonstrate their expertise in computational and data-driven science and engineering. The exam covers topics such as data analysis techniques, simulation methods, and the application of computational models to solve engineering problems. Candidates will be tested on their ability to use computational tools and data-driven approaches to design and analyze engineering solutions. This certification validates proficiency in data science and computational engineering, making individuals well-equipped for roles in research and development in technical fields.

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June 2, 2025
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Written in
2024/2025
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Certificate in Computation and Data
Enabled Science Engineering Exam
Question 1. Which of the following best defines computational science?

A) The study of traditional engineering principles without computer aid

B) The application of computational methods and models to solve

scientific and engineering problems

C) The exclusive use of numerical analysis in physics

D) The development of hardware components for scientific computing

Answer: B

Explanation: Computational science involves applying computational

techniques, models, and simulations to analyze and solve complex

scientific and engineering problems, making it a multidisciplinary

approach.


Question 2. Why is computational science important in modern

engineering?

A) It replaces the need for physical experiments entirely

B) It offers faster, cost-effective solutions and insights into complex

systems

C) It is only used for theoretical research with no practical applications

,Certificate in Computation and Data
Enabled Science Engineering Exam
D) It limits the scope of analysis to small datasets

Answer: B

Explanation: Computational science allows engineers to simulate and

analyze complex systems efficiently, reducing costs, time, and the

reliance on physical experiments, thereby enhancing innovation and

decision-making.


Question 3. Which term refers to a set of predefined rules for data

organization in programming?

A) Algorithm

B) Data structure

C) Software library

D) Computational model

Answer: B

Explanation: A data structure is a particular way of organizing and

storing data to enable efficient access and modification, which is

fundamental in programming and data science.

,Certificate in Computation and Data
Enabled Science Engineering Exam
Question 4. In data science, which of the following is a qualitative data

type?

A) Temperature readings

B) Customer feedback comments

C) Sales numbers

D) Stock prices

Answer: B

Explanation: Qualitative data consists of non-numeric categories or

descriptions, such as customer feedback comments, whereas the other

options are quantitative.


Question 5. Which preprocessing step is crucial for handling missing

data in a dataset?

A) Normalization

B) Imputation

C) Clustering

D) Visualization

Answer: B

Explanation: Imputation involves filling in missing data values, which is

, Certificate in Computation and Data
Enabled Science Engineering Exam
essential for maintaining data integrity and improving model

performance during preprocessing.


Question 6. Which matrix operation is fundamental in linear algebra and

used extensively in data science?

A) Matrix multiplication

B) String concatenation

C) Sorting

D) File compression

Answer: A

Explanation: Matrix multiplication is a core linear algebra operation

used in various algorithms, including transformations, neural networks,

and principal component analysis.


Question 7. The probability of an event that is certain to happen is:

A) 0

B) 0.5

C) 1

D) Cannot be determined

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