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

D-DS-OP-23 real exams

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

SectionObjectives
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

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

Question #1

In Python, which non-primitive data structure can only be a collection of primitive data types?

  • A. Tuple
  • B. Dictionary
  • C. Array
  • D. List
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

What is a data pipeline best practice related to Extract-Transform-Load (ETL) jobs?

  • A. ETL jobs should be manually executed and monitored to ensure the highest quality.
  • B. A failed ETL job should always be marked as completed so that any other scheduled jobs can execute.
  • C. A failed ETL job should be re-run immediately without taking any corrective actions.
  • D. ETL jobs should be flexible to source data changes such as new variables or attributes.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

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)

  • A. Talend
  • B. Amazon Redshift
  • C. Microsoft SSIS
  • D. Apache Spark
  • E. Apache Hadoop
Reveal Solution  Discussion  0

Correct Answer: A,C,D  🗳️

Question #4

What is a difference between Data Governance and Master Data Management (MDM)?

  • A. Data governance is an informal system of decision making.
    MDM is a formal system of decision making.
  • B. Data Governance is a formalized system of decision making.
    MDM is a comprehensive method to link all data elements to a common point of reference.
  • C. Data governance implementation involves people, policies, rules, and metrics.
    MDM is done automatically with no interference.
  • D. Data governance focuses mainly on IT practices.
    MDM creates the rules and decisions for operational data processes.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

Which of the following are characteristics of the Hadoop ecosystem? (Select all that apply)

  • A. Real-time processing
  • B. Scalability
  • C. Batch processing
  • D. Low fault tolerance
  • E. Single-node architecture
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

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