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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Engineering Principles | - Data pipeline design and orchestration - ETL/ELT processes - Data storage architectures (data lakes, warehouses) |
| Data Governance and Operations | - Data quality management - Lifecycle management of data solutions - Security and compliance considerations |
| Optimization and Performance | - Optimization techniques for data workflows - Model performance tuning |
| Machine Learning and Modeling | - Algorithm selection and tuning - Supervised and unsupervised learning - Model evaluation and validation |
| Data Science Foundations | - Statistical analysis and probability concepts - Data exploration and preprocessing - Feature engineering fundamentals |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
Question 1
You are designing a database for an e-commerce data warehouse. The data is normalized in 1NF format and will be used to create data marts for different departments inside the organization.
Which schema type should be used for this requirement?
A. Star
B. Columnar
C. Graph
D. Highly Normalized
Question 2
What step in a query plan determines the best execution path for the provided query?
A. Parser
B. Optimizer
C. Execution
D. Algebrizer
Question 3
Which layer in the EdgeX Foundry architecture provides a REST API that enables clients to establish new requests?
A. Device Services
B. Support Services
C. Core Services
D. Application/Export Services
Question 4
An organization wants to simplify the data ingestion configuration process through simple click, drag, and drop type actions.
Which tool provides an easy to use graphical user interface for building data pipeline data flows?
A. Apache Spark
B. Apache Hadoop
C. Apache Pig
D. Apache Airflow
Question 5
What is the main programming language supported by Apache Spark?
A. Java
B. Ruby
C. C++
D. Python
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: D |
