CIW Artificial Intelligence Associate (1D0-181) Certification Sample Questions

The purpose of this Sample Question Set is to provide you with information about the CIW Artificial Intelligence Associate exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the 1D0-181 certification test. To get familiar with real exam environment, we suggest you try our Sample CIW Artificial Intelligence Associate Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual CIW Artificial Intelligence Associate certification exam.

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CIW 1D0-181 Sample Questions:

01. What does the Bayesian approach in machine learning focus on?

a) Frequency of data occurrences

b) Prior probabilities to make predictions

c) Only the dataset's mean and standard deviation

d) The color and size of the data points

02. Which AI application is commonly used in online shopping for product recommendations?

a) Virtual Reality

b) Quantum Computing

c) Machine Learning Algorithms

d) Blockchain

03. How does 'clustering' work in the context of machine learning?

a) By dividing the data into groups based on similarities

b) By arranging data in chronological order

c) By reducing the size of the data

d) By increasing the speed of data processing

04. Which of the following is a key feature of 'robotic process automation'?

a) Manual data entry

b) Automating repetitive tasks

c) Physical robot movement

d) Graphic design

05. In AI project planning, what is the significance of defining the scope and limitations of the project?

a) Determines the project budget

b) Helps in choosing the programming language

c) Sets realistic expectations and goals

d) None of the above

06. What is 'sentiment analysis' typically used for in AI?

a) Understanding emotions in text data

b) Improving the speed of data processing

c) Data storage

d) Programming AI models

07. How does 'gradient descent' assist in training AI models?

a) By increasing the size of the dataset

b) By finding the minimum value of a function

c) By enhancing the graphical output

d) By writing code for the model

08. Why is 'data diversity' important in training AI models?

a) To make the data more colorful

b) To make the data look more appealing

c) To increase the amount of data

d) To ensure the model performs well across different scenarios and datasets

09. In machine learning, what is 'feature extraction'?

a) Removing unnecessary features from the dataset

b) Extracting data from the internet

c) Identifying and selecting important input variables

d) Converting digital features into physical forms

10. Which technology is crucial for speech recognition in AI?

a) Solid State Drives

b) Natural Language Processing

c) Graphic Cards

d) Bluetooth Technology

Answers:

Question: 01 Answer: b	Question: 02 Answer: c	Question: 03 Answer: a	Question: 04 Answer: b	Question: 05 Answer: c
Question: 06 Answer: a	Question: 07 Answer: b	Question: 08 Answer: d	Question: 09 Answer: c	Question: 10 Answer: b

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CIW Artificial Intelligence Associate (1D0-181) Certification Sample Questions

CIW 1D0-181 Sample Questions:

Answers:

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