1D0-184 sample questions

Question 1

A data science consultant is analyzing a dataset containing employee satisfaction scores (0-10) and annual attrition rates. The calculated Pearson correlation coefficient (r) between these two variables is -0.85.

Which statement accurately interprets this statistical result?

Accepted Answer

There is a strong negative linear relationship; as satisfaction increases, attrition decreases.

Answer

There is a strong positive linear relationship; as satisfaction increases, attrition increases.

Answer

There is a weak negative linear relationship; satisfaction has little impact on attrition.

Answer

Low employee satisfaction causes high attrition rates.

Question 2

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

Data Warehousing

Answer

Descriptive Analytics

Answer

Business Intelligence

Question 3

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

Model Overfitting

Answer

Data Sparsity

Answer

Feature Scaling

Question 4

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 5

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

TLS/SSL (HTTPS)

Accepted Answer

OAuth 2.0 / OIDC

Answer

WPA2

Answer

FTP

Answer

HTML5

Question 6

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

Top vendors

Top exams

Free 1D0-184 sample questions

A data science consultant is analyzing a dataset containing employee satisfaction scores (0-10) and annual attrition rates. The calculated Pearson correlation coefficient (r) between these two variables is -0.85. Which statement accurately interprets this statistical result?

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?

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