HCatalog supports the same data types as . . . . . . . .
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Point out the wrong statement.
A. There are no XML configuration files in Thrift
B. Thrift gives cross-language serialization with lower overhead than alternatives such as SOAP due to use of binary format
C. No framework to code is a feature of Thrift
D. None of the mentioned
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. . . . . . . . is the type supported for storing values in HCatalog tables.
A. HCatRecord
B. HCatColumns
C. HCatValues
D. All of the mentioned
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PostingsFormat now uses a . . . . . . . . API when writing postings, just like doc values.
A. push
B. pull
C. read
D. all of the mentioned
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Spark powers a stack of high-level tools including Spark SQL, MLlib for . . . . . . . .
A. regression models
B. statistics
C. machine learning
D. reproductive research
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. . . . . . . . is a write-only protocol that cannot be parsed by Thrift.
A. TCompactProtocol
B. TDenseProtocol
C. TBinaryProtocol
D. TSimpleJSONProtocol
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HCatalog is built on top of the Hive metastore and incorporates Hive's is . . . . . . . .
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. . . . . . . . is used as a remote procedure call (RPC) framework for facebook.
A. Oozie
B. Mahout
C. Thrift
D. Impala
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. . . . . . . . property allow users to override the expiry time specified.
A. hcat.desired.partition.num.splits
B. hcatalog.hive.client.cache.expiry.time
C. hcatalog.hive.client.cache.disabled
D. hcat.append.limit
Select an option to see the answer and solution.
. . . . . . . . is where you would land a flow (or possibly multiple flows joined together) into an HDFS-formatted file system.
A. Collector Tier Event
B. Agent Tier Event
C. Basic
D. All of the mentioned
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Spark is engineered from the bottom-up for performance, running . . . . . . . . faster than Hadoop by exploiting in memory computing and other optimizations.
A. 100x
B. 150x
C. 200x
D. None of the mentioned
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For . . . . . . . . partitioning jobs, simply specifying a custom directory is not good enough.
A. static
B. semi cluster
C. dynamic
D. all of the mentioned
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All file access uses Java's . . . . . . . . APIs which give Lucene stronger index safety.
A. NIO.2
B. NIO.3
C. NIO.4
D. NIO.5
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. . . . . . . . includes Apache Drill as part of the Hadoop distribution.
A. Impala
B. MapR
C. Oozie
D. All of the mentioned
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Hama was inspired by Google's . . . . . . . . large-scale graph computing framework.
A. Pragmatic
B. Pregel
C. Preghad
D. All of the mentioned
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A . . . . . . . . represents a distributed, immutable collection of elements of type T.
A. PCollect<T>
B. PCollection<T>
C. PCol<T>
D. All of the mentioned
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MapR . . . . . . . . Solution Earns Highest Score in Gigaom Research Data Warehouse Interoperability Report.
A. SQL-on-Hadoop
B. Hive-on-Hadoop
C. Pig-on-Hadoop
D. All of the mentioned
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Crunch uses Java serialization to serialize the contents of all of the . . . . . . . . in a pipeline definition.
A. Transient
B. DoFns
C. Configuration
D. All of the mentioned
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For Scala users, there is the . . . . . . . . API, which is built on top of the Java APIs.
A. Prunch
B. Scrunch
C. Hivench
D. All of the mentioned
Select an option to see the answer and solution.
. . . . . . . . property allows us to specify a custom dir location pattern for all the writes, and will interpolate each variable.
A. hcat.dynamic.partitioning.custom.pattern
B. hcat.append.limit
C. hcat.pig.storer.external.location
D. hcatalog.hive.client.cache.expiry.time
Select an option to see the answer and solution.