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: Jul 27, 2026
  • Q & A: 103 Questions and Answers

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

SectionWeightObjectives
Data Engineering Pipeline Optimization25%- Pipeline Design and Performance
  • 1. Optimize data ingestion and transformation workflows
  • 2. Implement scalable data processing architectures
  • 3. Evaluate data pipeline performance bottlenecks
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. Apply hyperparameter tuning techniques
  • 3. Evaluate model performance metrics
Deployment and Operationalization15%- Model Deployment
  • 1. Deploy machine learning models into production environments
  • 2. Monitor model performance and drift
  • 3. Implement model lifecycle management practices
Data Preparation and Feature Engineering20%- Feature Engineering Techniques
  • 1. Optimize feature extraction and transformation
  • 2. Select appropriate data preprocessing methods
  • 3. Evaluate data quality and feature effectiveness

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

1. Which of the following are components of the ETL process? (Select all that apply)

A) Loading
B) Visualization
C) Transmission
D) Transformation
E) Extraction


2. Which CouchDB function can be used to create a document?

A) Update
B) Insert
C) Create
D) List


3. What is metadata in the context of data governance?

A) Data access logs
B) Data quality metrics
C) Data about data
D) Data encryption keys


4. What is a metadata management challenge?

A) Ensuring availability of source systems
B) Data corruption over time
C) Leveraging the information from distributed sources
D) Information sources are limited


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

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


Solutions:

Question # 1
Answer: A,D,E
Question # 2
Answer: A
Question # 3
Answer: C
Question # 4
Answer: C
Question # 5
Answer: C

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