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Sin título

Carlos Torres 10 preguntas

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Preguntas del test (10)

  1. 1Cognitive analysis refers to:
    1. AA data analysis model that provides recommendations
    2. BA data analysis model that answer and act autonomously
    3. CA data analysis model that provides inferences, cause-effect relations
    4. DA data analysis model that provide predictions
  2. 2A big data system that opens a door with your fingerprint is
    1. Acognitive system
    2. Ba prediction
    3. Can inference
    4. Da reconmmendation system
  3. 3The Ps of Big data are
    1. ANone of the other answers is correct
    2. Bprocess, purpose, platform and programmability
    3. Cprogrammability, purpose and process
    4. Dpeople, purpose, process, platform and programmability
  4. 4The sources of data are:
    1. Apeople machine and corporations
    2. Bstructured, unstructured and semistructured
    3. Call the other answer are incorrect
    4. Dpeople, machine, corporations, structured, unstructured and semistructured
  5. 5serialization is
    1. Aserialization is a type of data mart
    2. Bserialization is the process of translating data structures or objects state into binary or textual form to transport the data over network or to store on some persistent storage
    3. Cnecessary for the loading and conversion of structured and unstructured data into Hadoop
    4. DNecessary for scheduling jobs and providing a structure for synchronizing process elements across layer
  6. 6To run Map Reduce for a Wordcount task using Cloudera
    1. Ajust run Mapreduce over the file
    2. Bnone of other questions is correct
    3. Cwordcount in Cloudera practice doesn´t perform a Mapreduce task
    4. DYou first upload the file in the system using HDFS and then run MapReduce based wordcount application over it
  7. 7A DFS consists basically of
    1. Aa MapReduce system
    2. BJust parallel computing
    3. CJust a commodity cluster
    4. DA partition of a big data set and the replication of each of that parts in several computers
  8. 8the operations shown in the graph have been done sequentially and they areImagen de la pregunta 8
    1. Aboth operations and finally and union
    2. B1- substructure extraction
      2- sub-setting
    3. Cboth operations are finally a join
    4. D1- sub-setting
      2- substructure extraction
  9. 9the operation shown in the graph isImagen de la pregunta 9
    1. Ajoin
    2. Bsubsetting
    3. Cunion
    4. Dsubstructure extraction
  10. 10What is the difference between both methodologies?
    1. Aboth have same purpose
    2. Bboth are non-supervised clustering methodologies
    3. CThe purpose of K-means to find clusters, and K-NN is to classify a given new item
    4. DThe purpose of K-means is to classify, and KN-N is to find clusters

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Test sobre Sin título, creado por Carlos Torres el 26/01/2021.
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