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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Storage & Data Management | 18% | - SQL/NoSQL performance tuning - Data formats, partitioning, and indexing - Distributed storage system optimization |
| Data Pipeline Optimization | 20% | - Reduce latency and improve throughput - Design scalable and efficient data pipelines - ETL/ELT workflow optimization |
| Monitoring, Troubleshooting & Workload Management | 10% | - Performance monitoring and logging - Bottleneck identification and resolution - Cluster resource allocation |
| Governance, Security & Compliance | 15% | - Security and privacy protection - Data governance policies - Regulatory compliance |
| Streaming & IoT Data Processing | 15% | - Pravega, Kafka, NiFi usage - Stream processing optimization - Real-time ingestion frameworks |
| Data Processing Frameworks | 22% | - Batch and real-time processing optimization - Hadoop ecosystem tuning - Apache Spark optimization |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. 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 Hadoop
B) Apache Spark
C) Apache Pig
D) Apache Airflow
2. Refer to the exhibit.
Which shows a table named Student.
What changes must be made to the table in order to achieve 1NF?
A) Remove duplicate rows in the table
B) Split table into two tables named Student and DoB
C) Split table into two tables named Student and Zip
D) Make Zip the primary key in the table
3. Which of the following describes Apache Flink?
A) A graph processing framework
B) A distributed file storage system
C) A stream processing framework
D) A batch processing engine
4. What enables Pravega to rapidly ingest streaming data into durable storage?
A) MongoDB
B) Apache Spark
C) Relational database schema
D) Append-only logs
5. What type of expertise is required to be an effective data engineer?
A) Big Data tools
B) Accounting
C) Project management
D) Business analysis
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |
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