Tag: databases

Questions Related to databases

Which three statements are true about File Sets? (Choose three.)
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  1. File sets are partitioned.

  2. File sets are unpartitioned.

  3. File sets are stored as a single file.

  4. File sets are readable by external applications.

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Correct Option: A,D

Which three lookup types may be performed in the Lookup stage? (Choose three.)

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  1. Equality match

  2. Negative match

  3. Range on stream link

  4. Range on the reject link

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Correct Option: A,C,D

You are working on a job in which a sequential file cannot be read in parallel. In an attempt to improve job performance, you first define a single large string column for the non-parallel sequential file read. Which stage may be used to parse the large string in parallel?

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  1. The Column Import stage

  2. The Column Export stage

  3. The Make Vector stage

  4. The Split Vector stage

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Correct Option: A

What is the lowest CPU cost partitioning method for parallel stage to parallel stage?
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  1. Range

  2. Modulus

  3. Entire

  4. Same

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Correct Option: D

A DataStage job is sourcing a flat file which contains a VARCHAR field. This field needs to be mapped to a target field which is a date. Which will accomplish this?

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  1. Use a Column Exporter to perform the type conversion.

  2. DataStage handles the type conversion automatically

  3. Use the TimestampFromDateTime function in a Transformer.

  4. Use the Modify stage to perform the type conversion.

Show answer
Correct Option: D

AI Explanation

To answer this question, we need to understand how DataStage handles type conversion when mapping a VARCHAR field to a date field.

Option A) Use a Column Exporter to perform the type conversion. This option is incorrect because a Column Exporter is used to export data from DataStage to an external target, not for performing type conversions within DataStage itself.

Option B) DataStage handles the type conversion automatically. This option is incorrect because DataStage does not automatically handle type conversions. It is important to explicitly convert data types to ensure accurate mapping and processing.

Option C) Use the TimestampFromDateTime function in a Transformer. This option is incorrect because the TimestampFromDateTime function is used to convert a DateTime field to a Timestamp field, not a VARCHAR field to a date field.

Option D) Use the Modify stage to perform the type conversion. This option is correct because the Modify stage in DataStage allows for data transformation and type conversion. By using the Modify stage, you can convert the VARCHAR field to a date field.

The correct answer is D) Use the Modify stage to perform the type conversion. This option is correct because the Modify stage can be used to convert the VARCHAR field to a date field.

Which Oracle Enterprise stage read property can be set using db options to tune job performance?
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  1. memsize

  2. arraysize

  3. partitionsize

  4. transactsize

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Correct Option: B

Which import option can be used to import metadata from a data modeling tool such as Erwin or Rational Data Architect?
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  1. Import using bridges.

  2. Import a table definition using the Connector wizard.

  3. Import DataStage components.

  4. Import a table definition using the Plug-In Meta Data facility.

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Correct Option: A

You need to invoke a job from the command line that is a multi-instance enabled. What is the correct syntax to start a multi-instance job?
technology databases

  1. dsjob -run -mode NORMAL -instance

  2. dsjob -run -mode NORMAL -wait -instance

  3. dsjob -run -mode NORMAL .

  4. dsjob -run -mode MULTI .

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Correct Option: C

Which three property areas must be configured when using the ODBC connector stage as a target in your job design? (Choose three.)

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  1. Define the connection properties to an ODBC data source.

  2. Define columns for the output link.

  3. Specify properties for the input link.

  4. Define columns for the input link data.

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Correct Option: A,C,D

Which two system variables/techniques must be used in a parallel Transformer derivation to generate a unique sequence of integers across partitions? (Choose two.)

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  1. @INROWNUM+1

  2. @INROWNUM

  3. @PARTITIONNUM

  4. @NUMPARTITIONS

Show answer
Correct Option: C,D

AI Explanation

To answer this question, we need to understand the concept of parallel Transformer derivation and the system variables/techniques used in it.

Parallel Transformer derivation is a process in which data is divided into multiple partitions and processed concurrently by multiple instances of a Transformer stage. Each partition is assigned a unique number, called the partition number, to identify it.

The two system variables/techniques that must be used in a parallel Transformer derivation to generate a unique sequence of integers across partitions are:

C. @PARTITIONNUM - This system variable returns the partition number of the current row. It is used to identify the partition that the row belongs to. Each partition will have a different value for @PARTITIONNUM, ensuring a unique sequence of integers across partitions.

D. @NUMPARTITIONS - This system variable returns the total number of partitions in the parallel Transformer derivation. It is used to determine the total number of partitions and can be used to calculate the range of values for @PARTITIONNUM. The combination of @PARTITIONNUM and @NUMPARTITIONS ensures a unique sequence of integers across partitions.

To summarize: Option A) @INROWNUM+1 - This option is incorrect as it does not generate a unique sequence of integers across partitions. Option B) @INROWNUM - This option is incorrect as it does not generate a unique sequence of integers across partitions. Option C) @PARTITIONNUM - This option is correct as it returns the partition number of the current row, ensuring a unique sequence of integers across partitions. Option D) @NUMPARTITIONS - This option is correct as it returns the total number of partitions, allowing for the calculation of @PARTITIONNUM and ensuring a unique sequence of integers across partitions.

Therefore, the correct answers are C) @PARTITIONNUM and D) @NUMPARTITIONS.