Pass the actual test with the help of D-DS-OP-23 study guide
Last Updated: Jul 22, 2026
No. of Questions: 103 Questions & Answers with Testing Engine
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| Section | Objectives |
|---|---|
| Data Science Foundations | - Statistical analysis and probability concepts - Feature engineering fundamentals - Data exploration and preprocessing |
| Machine Learning and Modeling | - Supervised and unsupervised learning - Model evaluation and validation - Algorithm selection and tuning |
| Data Governance and Operations | - Security and compliance considerations - Data quality management - Lifecycle management of data solutions |
| Optimization and Performance | - Optimization techniques for data workflows - Model performance tuning |
| Data Engineering Principles | - Data pipeline design and orchestration - Data storage architectures (data lakes, warehouses) - ETL/ELT processes |
1. What is the storage architecture of Pravega?
A) Columnar storage
B) Object-based storage
C) File-based storage
D) In-memory storage
2. What is the main programming language supported by Apache Spark?
A) Java
B) Python
C) C++
D) Ruby
3. Which of the following are components of the Apache Spark Streaming architecture? (Select all that apply)
A) Worker node
B) Driver node
C) Kafka topics
D) Discretized streams (DStreams)
E) HDFS storage
4. Which skill is crucial for a data engineer to effectively manage and optimize large-scale data processing systems?
A) Data analysis
B) Front-end development
C) Cloud computing
D) Graphic design
5. Which of the following accurately describes Apache Storm? (Select all that apply)
A) A batch processing framework
B) A machine learning library
C) A file storage system
D) A distributed stream processing system
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A,B,D | Question # 4 Answer: C | Question # 5 Answer: D |
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