Use this quick start guide to collect all the information about Dell EMC Data Scientist Data Engineering (DES-7DE1) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the DES-7DE1 Dell EMC Data Engineering Specialist Exam For Data Scientist exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Dell EMC DCS-DS certification exam.
The Dell EMC Data Scientist Data Engineering certification is mainly targeted to those candidates who want to build their career in Data Engineering domain. The Dell EMC Certified Specialist - Data Engineering - Data Scientist exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Dell EMC DCS-DS.
Dell EMC Data Scientist Data Engineering Exam Summary:
Exam Name | Dell EMC Certified Specialist - Data Engineering - Data Scientist |
Exam Code | DES-7DE1 |
Exam Price | $230 (USD) |
Duration | 90 mins |
Number of Questions | 60 |
Passing Score | 63% |
Books / Training |
Introduction to Data Engineering (ES731OCMIDENG) Data Warehousing with SQL and NoSQL - On-Demand Course (ES732OCMDATAW) ETL Offload with Hadoop and Spark - On-Demand Course (ES732OCMETLHS) Data Governance, Security and Privacy for Big Data - On-Demand Course (ES732OCMDGSPR) Processing Streaming and IoT Data - On-Demand Course (ES732OCMPSIOT) Building Data Pipelines with Python - On-Demand Course (ES732OCMBDPPY) Data Engineering Workshop (ES722OCMDEWRK) |
Schedule Exam | Pearson VUE |
Sample Questions | Dell EMC Data Scientist Data Engineering Sample Questions |
Practice Exam | Dell EMC DES-7DE1 Certification Practice Exam |
Dell EMC DES-7DE1 Exam Syllabus Topics:
Topic | Details | Weights |
---|---|---|
The Role of the Data Engineer |
- Describe the skills of a data engineer - Describe the role of a data engineer in a data analytics project |
5% |
Data Warehousing with SQL and NoSQL |
- Describe characteristics and performance considerations of a relational database - Describe relational database schemas and normalization techniques - Describe use cases and features of various NoSQL tools |
17% |
Extract-Transform-Load (ETL) Offload with Hadoop and Spark |
- Describe ETL, ELT, and related schedulers - Describe the Hadoop ecosystem, HDFS, and data ingestion tools - Describe Apache Spark and its architecture |
18% |
Data Governance, Security and Privacy for Big Data |
- Describe data governance, key roles, and related models - Describe metadata and Master Data Management - Describe security considerations with Hadoop and the Cloud - Describe the uses of Apache Atlas, Ranger, and Knox - Describe privacy regulations and ethics |
20% |
Processing Streaming and IoT Data |
- Describe uses and application of IoT tools - Describe the Apache Storm system and topology - Describe the Apache Kafka queueing system and architecture - Describe Apache Spark - Streaming processing and architecture - Describe Apache Flink and its architecture - Describe Pravega and its storage architecture - Describe EdgeX Foundry and its architecture |
20% |
Building Data Pipelines with Python |
- Describe Python, reasons to use, and its libraries - Describe the use of lists, dictionaries, tuples, sets, and strings - Describe the use of Apache Airflow - Describe data pipeline best practices |
20% |
To ensure success in Dell EMC DCS-DS certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Dell EMC Data Engineering Specialist Exam For Data Scientist (DES-7DE1) exam.