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  1. Asked: 3 years agoIn: Hadoop

    The type of __________ strategy Cassandra performs on your data is configurable and can significantly affect read performance.

    (a) compression

    (b) collection

    (c) compaction

    (d) decompression

    99a75
    Added an answer about 3 years ago

    Correct answer is (c) compactionThe best I can explain: Using the SizeTieredCompactionStrategy or DateTieredCompactionStrategy tends to cause data fragmentation when rows are frequently updated.

    Correct answer is (c) compaction

    The best I can explain: Using the SizeTieredCompactionStrategy or DateTieredCompactionStrategy tends to cause data fragmentation when rows are frequently updated.

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  2. Asked: 3 years agoIn: Hadoop

    _________ will overwrite any existing data in the table or partition.

    (a) INSERT WRITE

    (b) INSERT OVERWRITE

    (c) INSERT INTO

    (d) None of the mentioned

    a64dd
    Added an answer about 3 years ago

    Right answer is (c) INSERT INTOTo elaborate: INSERT INTO will append to the table or partition, keeping the existing data intact.

    Right answer is (c) INSERT INTO

    To elaborate: INSERT INTO will append to the table or partition, keeping the existing data intact.

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  3. Asked: 3 years agoIn: Hadoop

    Point out the correct statement.

    (a) With TextInputFormat and KeyValueTextInputFormat, each mapper receives a variable number of lines of input

    (b) StreamXmlRecordReader, the page elements can be interpreted as records for processing by a mapper

    (c) The number depends on the size of the split and the length of the lines.

    (d) All of the mentioned

    b41b3
    Added an answer about 3 years ago

    The correct option is (d) All of the mentionedThe explanation: Large XML documents that are composed of a series of “records” can be broken into these records using simple string or regular-expression matching to find start and end tags of records.

    The correct option is (d) All of the mentioned

    The explanation: Large XML documents that are composed of a series of “records” can be broken into these records using simple string or regular-expression matching to find start and end tags of records.

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  4. Asked: 3 years agoIn: Hadoop

    Lucene provides scalable, high-Performance indexing over ______  per hour on modern hardware.

    (a) 1 TB

    (b) 150GB

    (c) 10 GB

    (d) None of the mentioned

    2fd6b
    Added an answer about 3 years ago

    Right choice is (b) 150GBEasy explanation: Lucene offers powerful features through a simple API.

    Right choice is (b) 150GB

    Easy explanation: Lucene offers powerful features through a simple API.

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  5. Asked: 3 years agoIn: Hadoop

    Storm is benchmarked as processing one million _______ byte messages per second per node.

    (a) 10

    (b) 50

    (c) 100

    (d) 200

    27ec8
    Added an answer about 3 years ago

    Correct answer is (c) 100Explanation: Storm is a distributed real-time computation system.

    Correct answer is (c) 100

    Explanation: Storm is a distributed real-time computation system.

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  6. Asked: 3 years agoIn: Hadoop

    ______________ is another implementation of the MapRunnable interface that runs mappers concurrently in a configurable number of threads.

    (a) MultithreadedRunner

    (b) MultithreadedMap

    (c) MultithreadedMapRunner

    (d) SinglethreadedMapRunner

    66157
    Added an answer about 3 years ago

    Correct choice is (c) MultithreadedMapRunnerEasiest explanation: A RecordReader is little more than an iterator over records, and the map task uses one to generate record key-value pairs, which it passes to the map function.

    Correct choice is (c) MultithreadedMapRunner

    Easiest explanation: A RecordReader is little more than an iterator over records, and the map task uses one to generate record key-value pairs, which it passes to the map function.

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  7. Asked: 3 years agoIn: Hadoop

    Point out the correct statement.

    (a) Cassandra delivers continuous availability, linear scalability, and operational simplicity across many commodity servers

    (b) Cassandra has a “masterless” architecture, meaning all nodes are the same

    (c) Cassandra also provides customizable replication, storing redundant copies of data across nodes that participate in a Cassandra ring

    (d) All of the mentioned

    b5a72
    Added an answer about 3 years ago

    Correct choice is (d) All of the mentionedTo explain: Cassandra provides automatic data distribution across all nodes that participate in a “ring” or database cluster.

    Correct choice is (d) All of the mentioned

    To explain: Cassandra provides automatic data distribution across all nodes that participate in a “ring” or database cluster.

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  8. Asked: 3 years agoIn: Hadoop

    Apache Storm added the open source, stream data processing to _________ Data Platform.

    (a) Cloudera

    (b) Hortonworks

    (c) Local Cloudera

    (d) MapR

    caf92
    Added an answer about 3 years ago

    Right answer is (b) HortonworksThe best explanation: The Storm community is working to improve capabilities related to three important themes: business continuity, operations and developer productivity.

    Right answer is (b) Hortonworks

    The best explanation: The Storm community is working to improve capabilities related to three important themes: business continuity, operations and developer productivity.

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  9. Asked: 3 years agoIn: Hadoop

    _________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.

    (a) Scalding

    (b) HCatalog

    (c) Cascalog

    (d) All of the mentioned

    351ef
    Added an answer about 3 years ago

    Right answer is (c) CascalogTo elaborate: Cascalog also adds Logic Programming concepts inspired by Datalog. Hence the name “Cascalog” is a contraction of Cascading and Datalog.

    Right answer is (c) Cascalog

    To elaborate: Cascalog also adds Logic Programming concepts inspired by Datalog. Hence the name “Cascalog” is a contraction of Cascading and Datalog.

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  10. Asked: 3 years agoIn: Hadoop

    The need for data replication can arise in various scenarios like ____________

    (a) Replication Factor is changed

    (b) DataNode goes down

    (c) Data Blocks get corrupted

    (d) All of the mentioned

    20298
    Added an answer about 3 years ago

    Right answer is (d) All of the mentionedBest explanation: Data is replicated across different DataNodes to ensure a high degree of fault-tolerance.

    Right answer is (d) All of the mentioned

    Best explanation: Data is replicated across different DataNodes to ensure a high degree of fault-tolerance.

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