EMC Dell Data Scientist and Data Engineering Optimize 2023 : D-DS-OP-23

Exam Code: D-DS-OP-23

Exam Name: Dell Data Scientist and Data Engineering Optimize 2023

Updated: Aug 21, 2026

Q & A: 103 Questions and Answers

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About EMC Dell Data Scientist and Data Engineering Optimize 2023 : D-DS-OP-23 Exam

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EMC D-DS-OP-23 Exam Syllabus Topics:

SectionWeightObjectives
Data Preparation and Feature Engineering20%- Feature Engineering Techniques
  • 1. Evaluate data quality and feature effectiveness
  • 2. Optimize feature extraction and transformation
  • 3. Select appropriate data preprocessing methods
Data Engineering Pipeline Optimization25%- Pipeline Design and Performance
  • 1. Evaluate data pipeline performance bottlenecks
  • 2. Optimize data ingestion and transformation workflows
  • 3. Implement scalable data processing architectures
Deployment and Operationalization15%- Model Deployment
  • 1. Monitor model performance and drift
  • 2. Implement model lifecycle management practices
  • 3. Deploy machine learning models into production environments
Data Governance and MLOps15%- Governance and Operations
  • 1. Implement MLOps workflows and automation
  • 2. Ensure security, compliance, and reproducibility
  • 3. Apply data governance principles
Machine Learning Model Optimization25%- Model Tuning and Evaluation
  • 1. Improve model accuracy and efficiency
  • 2. Evaluate model performance metrics
  • 3. Apply hyperparameter tuning techniques

EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:

1. What ordered set of terms refers to the process in which data is sourced from a relational database, enriched and merged with other datasets, then stored in a data lake?

A) Extract, Load, and Transform
B) Isolation, Atomicity, and Consistency
C) Atomicity, Consistency, and Isolation
D) Extract, Transform, and Load


2. Refer to the exhibit.

Which shows a table named Student.
What changes must be made to the table in order to achieve 1NF?

A) Split table into two tables named Student and DoB
B) Make Zip the primary key in the table
C) Split table into two tables named Student and Zip
D) Remove duplicate rows in the table


3. What is a typical task of a data engineer during a data analytics project?

A) Presenting financial benefits to executive stakeholders
B) Transforming data into a format that can be easily analyzed
C) Planning and performing A/B testing
D) Exploring and examining data to find hidden patterns


4. What is a common use case for a document-based NoSQL database like MongoDB?

A) Storing structured tabular data
B) Managing hierarchical data
C) Tracking real-time data streams
D) Performing complex SQL queries


5. What is the primary advantage of using dictionaries in Python data pipelines?

A) Dictionaries support mathematical operations
B) Dictionaries offer O(1) lookup time
C) Dictionaries maintain element order
D) Dictionaries allow duplicate values


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: B

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