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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Pipeline Optimization | 20% | - Design scalable and efficient data pipelines - ETL/ELT workflow optimization - Reduce latency and improve throughput |
| Monitoring, Troubleshooting & Workload Management | 10% | - Bottleneck identification and resolution - Performance monitoring and logging - Cluster resource allocation |
| Data Processing Frameworks | 22% | - Batch and real-time processing optimization - Hadoop ecosystem tuning - Apache Spark optimization |
| Storage & Data Management | 18% | - SQL/NoSQL performance tuning - Distributed storage system optimization - Data formats, partitioning, and indexing |
| Governance, Security & Compliance | 15% | - Security and privacy protection - Regulatory compliance - Data governance policies |
| Streaming & IoT Data Processing | 15% | - Pravega, Kafka, NiFi usage - Stream processing optimization - Real-time ingestion frameworks |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
Question 1
What is the main programming language supported by Apache Spark?
A. Python
B. Java
C. C++
D. Ruby
Question 2
What is a primary task of a data engineer during a data analytics project?
A. Preparing the Big Data environment to be utilized by data scientists and other business stakeholders
B. Ensuring the successful initiation, planning, design, execution, monitoring, controlling, and closure of the project
C. Installing, configuring, testing, and maintaining operating systems, application software, and system management tools
D. Designing and integrating infrastructure, analyzing algorithms, modifying source code, and writing system instructions
Question 3
In Python, which non-primitive data structure can only be a collection of primitive data types?
A. Tuple
B. Array
C. List
D. Dictionary
Question 4
In Python, which type of non-linear list always has a common root?
A. Queues
B. Graphs
C. Stacks
D. Trees
Question 5
What is a common use case for a document-based NoSQL database like MongoDB?
A. Tracking real-time data streams
B. Managing hierarchical data
C. Storing structured tabular data
D. Performing complex SQL queries
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: B |


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