In 2026, serious preparation should not mean serious waiting. Buy the EMC Advanced Analytics Specialist Exam for Data Scientists material, receive it by email almost immediately, and put your first study session in the same evening.
EMC E20-065 Exam Overview:
| Certification Vendor: | Dell EMC |
|---|---|
| Exam Name: | Advanced Analytics Specialist Exam for Data Scientists |
| Exam Number: | E20-065 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 2 years |
| Passing Score: | 63% |
| Exam Format: | Multiple-choice, Scenario-based |
| Real Exam Qty: | 60-66 |
| Exam Price: | $200-$230 USD |
| Related Certifications: | Dell EMC Data Science Associate (DELL-EMC E20-055) |
| Recommended Training: | Advanced Methods in Data Science and Big Data Analytics |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: |  |
| Exam Way: | Onsite at Pearson VUE test centers or online proctored |
| Pre Condition: | Recommended: Dell EMC Data Science Associate certification (E20-055) or equivalent knowledge; 6+ months hands-on data science experience |
| Official Syllabus URL: | https://www.dell.com/en-us/dt/certification/exam/e20-065.htm |
EMC E20-065 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Science Theory and Methods | 15% | - Classification algorithms: Random Forest, Logistic Regression - Maximum Entropy modeling - Statistical modeling and simulation - CRISP-DM methodology |
| Topic 2: Data Visualization | 12% | - Multivariate data visualization - Visual perception principles - Communicating analytical results - Choosing appropriate chart types |
| Topic 3: Social Network Analysis | 23% | - SNA tools and practical applications - Community detection algorithms - Graph theory fundamentals - Network metrics and centrality measures |
| Topic 4: MapReduce and Hadoop Distributed File System | 15% | - YARN resource management - MapReduce framework architecture - HDFS components and operations |
| Topic 5: Natural Language Processing | 20% | - Text preprocessing techniques - Sentiment analysis and information extraction - NLP fundamentals and ambiguity types - Language modeling and feature extraction |
| Topic 6: Hadoop Ecosystem and NoSQL Databases | 15% | - Apache Spark - NoSQL concepts and use cases - Apache Pig and Hive - HBase, Cassandra, MongoDB |
Common Questions About EMC Advanced Analytics Specialist Exam for Data Scientists
We keep our pricing preferential for candidates and run sales promotions on unfixed dates, often around major festivals. Regular customers across many countries already watch the site for these offers, and keeping an eye on the LatestCram homepage is the easiest way to buy EMC Advanced Analytics Specialist Exam for Data Scientists at a friendlier price.
E20-065 requires 63% to pass, and the official exam fee is $200-$230 USD. Knowing both numbers early helps you plan your exam date and budget together.
Everything runs online. As soon as you pay, our system records your information, encrypts it to protect your personal details from leaking, and sends the EMC Advanced Analytics Specialist Exam for Data Scientists files to your registered email. The whole process takes only a few minutes, so you can begin studying almost immediately after payment.
The E20-065 exam contains 60-66 questions within 90 minutes minutes. Rehearsing under the same time limit on the LatestCram engine builds the pacing habits you will need.
- MapReduce and Hadoop Distributed File System (15%)
- Data Visualization (12%)
- Social Network Analysis (23%)
Allocate your study hours in proportion to each topic's weight.
The package includes 68 practice questions for the E20-065 exam, all with verified answers and available in three formats.
Recommended: Dell EMC Data Science Associate certification (E20-055) or equivalent knowledge; 6+ months hands-on data science experience
Advanced Methods in Data Science and Big Data Analytics: Visit official page
Pearson VUE Registration: register for E20-065
EMC Advanced Analytics Specialist Exam for Data Scientists Sample Questions:
What are three of the eight visual variables?
- A. Position, size, and orientation
- B. Position, texture, and selection
- C. Size, separation, and orientation
- D. Selection, orientation, and mark
Correct Answer: A 🗳️
A data engineer is asked to process several large datasets using MapReduce. Upon initial inspection the engineer realizes that there are complex interdependencies between the datasets.
Why is this a problem?
- A. MapReduce works best on unstructured data
- B. There is no problem; MapReduce accommodates all the data
- C. MapReduce can only parse one file at a time.
- D. MapReduce is not ideal when the processing of one dataset depends on another.
Correct Answer: D 🗳️
Why would a company decide to use HBase to replace an existing relational database?
- A. Existing SQL code will run unchanged on HBase.
- B. Varying formats of input data requires columns to be added in real time.
- C. It is required for performing ad-hoc queries.
- D. The company's employees are already fluent in SQL.
Correct Answer: C 🗳️
Given an input vector of features, a Random Forests model performs a classification task and ends in a tie.
How does the model handle this outcome?
- A. One more tree is added to the forest
- B. The model will be rebuilt
- C. The tree that caused the tie is discarded
- D. A winner is chosen at random
Correct Answer: D 🗳️
In a social network, what does it mean for a node to have a high degree but low betweenness?
- A. The node has the only edge connecting its community to the rest of the graph.
- B. The node acts as the hub of the graph.
- C. The node can be easily bypassed by communications taking other shorter paths.
- D. The node is adjacent to a few nodes, each of each has high Page Ranks.
Correct Answer: B 🗳️
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