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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Streaming & IoT Data Processing | 15% | - Pravega, Kafka, NiFi usage - Stream processing optimization - Real-time ingestion frameworks |
| Topic 2: Governance, Security & Compliance | 15% | - Data governance policies - Security and privacy protection - Regulatory compliance |
| Topic 3: Storage & Data Management | 18% | - SQL/NoSQL performance tuning - Data formats, partitioning, and indexing - Distributed storage system optimization |
| Topic 4: Data Pipeline Optimization | 20% | - Design scalable and efficient data pipelines - ETL/ELT workflow optimization - Reduce latency and improve throughput |
| Topic 5: Data Processing Frameworks | 22% | - Hadoop ecosystem tuning - Apache Spark optimization - Batch and real-time processing optimization |
| Topic 6: Monitoring, Troubleshooting & Workload Management | 10% | - Cluster resource allocation - Performance monitoring and logging - Bottleneck identification and resolution |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. What are two Spark libraries?
A) Spark NoSQL and GraphX
B) Spark NoSQL and RDD
C) Spark SQL and GraphX
D) Spark SQL and RDD
2. In Python, which type of non-linear list always has a common root?
A) Trees
B) Graphs
C) Queues
D) Stacks
3. What is the fastest data transfer channel for the Flume Agent Architecture?
A) JDBC
B) Sink Processor
C) File
D) Memory
4. What is a significant advantage of using a columnar store NoSQL database for analytical workloads?
A) High-speed transaction processing
B) Optimized query performance on large datasets
C) Efficient storage of hierarchical data
D) Real-time data synchronization
5. What is the main programming language supported by Apache Spark?
A) Python
B) C++
C) Java
D) Ruby
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |
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