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Exam Code: D-DS-OP-23
Exam Name: Dell Data Scientist and Data Engineering Optimize 2023
Updated: Sep 24, 2026
Q & A: 103 Questions and Answers
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| Section | Objectives |
|---|---|
| Topic 1: Data Engineering Principles | - ETL/ELT processes - Data storage architectures (data lakes, warehouses) - Data pipeline design and orchestration |
| Topic 2: Optimization and Performance | - Model performance tuning - Optimization techniques for data workflows |
| Topic 3: Machine Learning and Modeling | - Model evaluation and validation - Supervised and unsupervised learning - Algorithm selection and tuning |
| Topic 4: Data Science Foundations | - Statistical analysis and probability concepts - Data exploration and preprocessing - Feature engineering fundamentals |
| Topic 5: Data Governance and Operations | - Data quality management - Security and compliance considerations - Lifecycle management of data solutions |
In Python, which non-primitive data structure can only be a collection of primitive data types?
Correct Answer: C 🗳️
What is a data pipeline best practice related to Extract-Transform-Load (ETL) jobs?
Correct Answer: D 🗳️
In the ELT process, data is transformed after being loaded into the target system.
Which tools can be used for ELT? (Select all that apply)
Correct Answer: A,C,D 🗳️
What is a difference between Data Governance and Master Data Management (MDM)?
Correct Answer: B 🗳️
Which of the following are characteristics of the Hadoop ecosystem? (Select all that apply)
Correct Answer: B,C 🗳️
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