EMC Advanced Analytics Specialist Exam for Data Scientists E20-065 Exam Dumps: Updated Questions & Answers (October 2025)

MLib

NLTK

GraphX

Spark SQL

Can be performed by calling the synset () function on a lemma in LNTK

Can be performed by calling the lemma() function on a synset in LNTK

Reduces words of variant forms to their base forms based on a set of heuristics

Reduces words of variant forms to their base forms based on a dictionary

One with a few. non-random input variables

One that has a closed-form solution

One with numerous, non-random Input-variables

One that compares "what-if scenarios

2 based on the following reasoning:

TFIDF = TF1DF = 1 908

You then know that IDF will equal LOG (32)=0.954

Therefore, TFIDF=TF*0.954 = 1.908

TF will then round to 2

4 based on the following reasoning:

TFIDF = TF1DF = 1.908

You then know that IDF will equal LOG (3/1 )=0.477

Therefore, TFIDF=TF'0 477 = 1.908

TF will then round to 4

6 based on the following reasoning:

TFIDF = TF1DF = 1.908

You then know that IDF will equal 3/1=3

Therefore, TFIDF=TF/3 = 1.908

TF will then round to 6

11 based on the following reasoning:

TFIDF = TF1DF = 1908

You then know that IDF will equal LOG(3/2)=0.176

Therefore, TFIDF=TF"0.176 = 1.908

TF will then round to 11

Bipartite

Weighted

Directed acyclic

Ranked

C-E

E-F

B-C

G-l

Storing files that are updated frequently

Storing files that are written once and read many times

Storing results between Map steps and Reduce steps

Storing application files in memory

Eigenvector centrality and betwenness

Clique size and total number of nodes in the network

Number of edges in the network and centrality measure of the cliques

Clique size and betweenness centrality

The scheduler allocates a container to run an ApplicationMaster

The ResourceManager allocates containers to run map and reduce tasks

The Resource Manager requests load data from the NodeManagers

The ApplicationManager starts an ApplicationMaster

Discourse

Syntactic

Semantic

Acoustic