Dell Data Scientist and Big Data Analytics Foundations 2023

Dell Data Scientist and Big Data Analytics Foundations 2023

This foundation-level certification validates skills and knowledge in big data analytics and data science, focusing on the Dell EMC product and technology suite.

Focus

The Dell Data Scientist and Big Data Analytics Foundations 2023 certification focuses on Big data analytics and data science

Exam Duration

The Dell Data Scientist and Big Data Analytics Foundations 2023 exam duration is N/A

Num of Question

The exam contains a total of N/A

Exam Fee

The exam fee is N/A.

Exam Validity

The CCRN-Pediatric certification is valid for This certification is considered current by Dell EMC.

Prior Certification

• N/A

Exam Format

The Dell Data Scientist and Big Data Analytics Foundations 2023 exam is a Multiple choice

Passing Conditions

To pass Dell Data Scientist and Big Data Analytics Foundations 2023 exam, applicants must achieve a minimum score of Pass the exam

Who Should Take

The certification is designed for professionals seeking to demonstrate their foundational knowledge of big data analytics and data science technology in the Dell EMC portfolio.

• Data scientist
• Data analyst
• Business analyst
• Data engineer

Prerequisites

No experience in the field is required to pursue this certification.

Or can substitute with certifications:

• N/A

Certification Process

• Create an account with Dell EMC and schedule the exam or purchase a voucher.
• Read the candidate guide and exam guide to understand the content, format, and objectives of the exam.
• Prepare thoroughly using the recommended training courses or self-study materials.
• Schedule the exam and get it proctored.

Domains with Weights

• Big Data Technologies (40%): Understanding HDFS, MapReduce, Sqoop, Flume, Oozie, and Ambari.
• Data Science and Analytics (30%): Understanding data science concepts, including data mining, predictive modeling, and data visualization.
• Data Ingestion and Integration (15%): Understanding data ingestion and data integration concepts, including Delta Lake and Federation.
• Data Governance and Security (15%): Understanding data governance and security concepts, including data security and privacy.