Certification signals more than knowledge: candidates who earn the EMC Specialist - Data Scientist, Data Engineering credential show the dedication and execution that projects demand, and Pass4guide helps you build toward the DES-7DE1 exam one verified answer at a time.
| Certification Vendor: | Dell Technologies (Dell EMC) |
|---|---|
| Exam Name: | Specialist - Data Scientist, Data Engineering Exam |
| Exam Number: | DES-7DE1 |
| Exam Format: | Multiple Choice |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Exam Price: | 230 USD |
| Available Languages: | English |
| Passing Score: | 63% |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Data Engineering Workshop (ES722OCMDEWRK) Introduction to Data Engineering (ES731OCMIDENG) |
| Exam Registration: | Pearson VUE Registration |
| Exam Way: | Online proctored or in-person at authorized Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended experience in data engineering, SQL, Python, and big data tools |
| Official Syllabus URL: | https://www.dell.com/en-us/dt/certification/exams/des-7de1.htm |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ETL/ELT with Hadoop and Spark | 18% | - Hadoop ecosystem, HDFS and ingestion tools - Apache Spark architecture and processing - ETL vs ELT concepts and scheduling tools |
| Topic 2: Data Governance, Security and Privacy | 20% | - Data privacy regulations and ethics - Big data security: Apache Atlas, Ranger, Knox - Governance frameworks, roles and policies - Metadata management and MDM |
| Topic 3: Data Warehousing with SQL and NoSQL | 17% | - Relational databases, schemas and normalization - SQL querying and performance considerations - NoSQL database types, features and use cases |
| Topic 4: Processing Streaming and IoT Data | 20% | - Streaming data concepts and IoT use cases - Apache Storm and real-time processing - Apache Kafka architecture and messaging |
| Topic 5: Building Data Pipelines with Python | 20% | - Pipeline monitoring and error handling - Designing and automating data pipelines - Python libraries for data processing |
| Topic 6: The Role of the Data Engineer | 5% | - Role in analytics and data science projects - Skills and responsibilities of a data engineer |
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