1D0-184 sample questions

Question 1

A retail company wants to implement a system that automatically identifies and flags fraudulent transactions in real-time without human intervention. The system must learn from new fraud patterns as they emerge daily.

Which terminology BEST describes the core technology required for this solution?

Accepted Answer

Machine Learning

Answer

Business Intelligence

Answer

Descriptive Analytics

Answer

Data Warehousing

Question 2

A financial institution is building a credit scoring model. During testing, the team discovers the model consistently assigns lower credit scores to applicants from a specific zip code, despite income levels being equal to other regions.

Which ethical issue is demonstrated in this scenario?

Accepted Answer

Algorithmic Bias

Answer

Feature Scaling

Answer

Data Sparsity

Answer

Model Overfitting

Question 3

True or False: Pseudonymization is a data protection method that renders data completely anonymous and irreversible, such that the data subject can never be re-identified.

Accepted Answer

False

Answer

True

Question 4

A data scientist needs to secure a web-based survey application collecting sensitive health information.

Which TWO web security standards are most critical to implement to ensure data integrity and privacy during transmission? (Select TWO)

Accepted Answer

OAuth 2.0 / OIDC

Accepted Answer

TLS/SSL (HTTPS)

Answer

FTP

Answer

HTML5

Answer

WPA2

Question 5

Which source would be considered the most reliable for a data scientist to identify the latest scientifically validated trends in deep learning architectures?

Accepted Answer

Peer-reviewed conference proceedings (e.g., NeurIPS, ICML)

Answer

Tech news blogs

Answer

Vendor marketing whitepapers

Answer

Social media influencers

Question 6

A marketing team wants to segment their customer base into distinct groups based on purchasing behavior to tailor marketing campaigns. They do not have pre-defined labels for these groups.

Which machine learning approach is most appropriate for this task?

Accepted Answer

Unsupervised Clustering

Answer

Linear Regression

Answer

Reinforcement Learning

Answer

Supervised Classification

Free 1D0-184 sample questions

A retail company wants to implement a system that automatically identifies and flags fraudulent transactions in real-time without human intervention. The system must learn from new fraud patterns as they emerge daily. Which terminology BEST describes the core technology required for this solution?

A financial institution is building a credit scoring model. During testing, the team discovers the model consistently assigns lower credit scores to applicants from a specific zip code, despite income levels being equal to other regions. Which ethical issue is demonstrated in this scenario?

True or False: Pseudonymization is a data protection method that renders data completely anonymous and irreversible, such that the data subject can never be re-identified.

A data scientist needs to secure a web-based survey application collecting sensitive health information. Which TWO web security standards are most critical to implement to ensure data integrity and privacy during transmission? (Select TWO)

Which source would be considered the most reliable for a data scientist to identify the latest scientifically validated trends in deep learning architectures?

A marketing team wants to segment their customer base into distinct groups based on purchasing behavior to tailor marketing campaigns. They do not have pre-defined labels for these groups. Which machine learning approach is most appropriate for this task?

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