FusionInsight HDin, aboutHiveandSparksql, which of the following descriptions are correct? (multiple choice)

• A.Both are available via table fields andHBaseAccess by field mappingHBasedata on
• B.Both are available externallySQLor classSQLability
• C.Both can run onMapReduceon the computational framework
• D.Both can run onSparkon the computational framework

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HDFSclient withNcopy toHDFSWhen writing a file, if one of the replicas fails to write, all replicas will return write failure

• A.False
• B.True

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Tonganeng's societyHDofe, user-definedUDFcan andHmachine built-inUDFclass name, In this case, the user-definedUDF.

• A.False
• B.True

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existSpark, which of the following is trueDataFrameThe operator that takes the intersection?

• A.filer(conditionExpr:String):DataFrameFilter data based on filter criteria
• B.intersect(other:DataFrame):DataFrameright2indivualdataframeTake the intersection
• C.Join(right:DataFrame,joinExprs:Column):DataFrameaccording to the specified expressionjoin
• D.dropDuplicates():DataFramedata deduplication

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the following aboutHDFSIs the description correct?
(multiple choice)

• A.HDFSprepareNameNodeThe metadata on theNameNodeSync the past directly.
• B.HDFSIt is suitable for the scenario of writing once and reading many times.
• C.HDFSDepend onNameNode,DataNode,Clientcomposition.
• D.HDFSThe first copy of the data can be stored by using the rack node close to the client.

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