E20-065 Dumps
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E20-065 Actual Questions
Advanced Analytics Specialist Exam for Data Scientists
https://killexams.com/pass4sure/exam-detail/E20-065
Which representation is most suitable for a small and highly connected network?
Edge list
Adjacency matrix
Eigenvector centrality
Adjacency list
What is a characteristic of spark?
Unable to run map -> reduce execution plans
Supports applications written in Python, Java, and Scala
Less efficient processing small files than Hadoop MapReduce
Supports workflows that can return to previous work steps
If two of the communities are re-designated to be one community, how does that change the network characteristics? Refer to the exhibit.
Neighborhood overlap would increase
Network diameter would decrease
Modularity would increase
Modularity would decrease
What is the maximum degree of a node in an undirected graph with 50 nodes'?
49
50
1250
2500
What best describes the meaning behind the phrase "Six Degrees of Separation'"?
Ability to use about six hops to reach any other node in an extremely large social network
Erdos number of all scholars having written papers with Paul Erdos
Maximum number of edges between nodes in a graph with a diameter of six
Typical distance between nodes that are connected by triadic closure
What do first-order and second-order Markov processes have in common concerning next word prediction?
Both use WordNet to model the probability of the next word
Both are unsupervised methods
Both provide the foundation to build a trigram language model
Neither makes assumptions about the probability of the next word
A marketing team creates a graph using a square for each data point, where the length of each side is set to the data value. The data values are 10 and 20. What is the lie factor of the graph?
1
2
3
6
You are analyzing written transcripts of focus groups conducted on product X. You approach is to use TF-IDF for your analysis. What combination of TF-IDF scores should you examine to ensure you only report on the most important terms?
High TF score and high DF score
High TF score and high IDF score
High TF score and low IDF score
Low TF score and low DF score
What does YARN provide over and above MapReduce?
Separate cluster and resource management
Parallelized processing
Serialized processing
Access to HDFS data
What is an intended application of the MapReduce framework?
Processing can be broken into smaller pieces
Processing a large number of small files
Processing in real time is required
Processing a small subset of data
What do lemmatization and stemming have in common?
Use WordNet
Remove common words in a natural language
Reduce the high dimensionality in text
Use a set of heuristics
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