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EMC D-DS-OP-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Troubleshooting & Workload Management | 10% | - Cluster resource allocation - Bottleneck identification and resolution - Performance monitoring and logging |
| Data Processing Frameworks | 22% | - Apache Spark optimization - Batch and real-time processing optimization - Hadoop ecosystem tuning |
| Data Pipeline Optimization | 20% | - ETL/ELT workflow optimization - Design scalable and efficient data pipelines - Reduce latency and improve throughput |
| Storage & Data Management | 18% | - Distributed storage system optimization - SQL/NoSQL performance tuning - Data formats, partitioning, and indexing |
| Streaming & IoT Data Processing | 15% | - Stream processing optimization - Real-time ingestion frameworks - Pravega, Kafka, NiFi usage |
| Governance, Security & Compliance | 15% | - Security and privacy protection - Data governance policies - Regulatory compliance |
EMC Dell Data Scientist and Data Engineering Optimize 2023 Sample Questions:
1. The penalty that the EU supervisory authority levies on an organization that fails to comply with the General Data Protection Regulation (GDPR) is the greater of 4% of total global annual turnover or revenue, or a fixed fine amount.
What is the fixed fine amount, in millions of Euros?
A) 10
B) 5
C) 20
D) 40
2. What is a challenge of managing data pipelines?
A) Ensuring that proper backups are available in the event of a data corruption
B) Monitoring is simply accomplished by the end users reporting any data quality issues
C) Guaranteeing there is no personally identifiable information in the extracted data
D) Making the data volume consistent, or at least easily predictable
3. What enables Apache Spark to process data more efficiently than Hadoop's MapReduce?
A) Data is cached in memory whenever possible
B) Intermediate processing data is always written to disk
C) JobTracker functionality has been replaced by YARN
D) Apache Flink is the compute engine
4. What is an advantage of avoiding bias from the data?
A) Reduce misuse of data and facilitate its transparency
B) Minimize Bias-Variance trade-off
C) Minimize transparency at the point of data collection
D) Decrease trust between humans and machines
5. What is a common use case for a document-based NoSQL database like MongoDB?
A) Managing hierarchical data
B) Storing structured tabular data
C) Performing complex SQL queries
D) Tracking real-time data streams
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |
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