D-DS-OP-23 無料問題集「EMC Dell Data Scientist and Data Engineering Optimize 2023」

（A）3

（B）4

（C）2

（D）6

（A）1. Define the roles and responsibilities of actors within the data governance process
2. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment
3. Operationalize the data governance process and assist the deployment team
4. Understand the current and future states of data governance and identify remaining gaps

（B）1. Define the roles and responsibilities of actors within the data governance process
2. Operationalize the data governance process and assist the deployment team
3. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment
4. Understand the current and future states of data governance and identify remaining gaps

（C）1. Define the roles and responsibilities of actors within the data governance process
2. Operationalize the data governance process and assist the deployment team
3. Understand the current and future states of data governance and identify remaining gaps
4. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment

（D）1. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment
2. Define the roles and responsibilities of actors within the data governance process
3. Operationalize the data governance process and assist the deployment team
4. Understand the current and future states of data governance and identify remaining gaps

（A）Table is in BCNF
No multi-valued dependencies exist

（B）Table is in 3NF
No dependencies exist

（C）Table is in 3NF
No multi-valued dependencies exist

（D）Table is in BCNF
Multi-valued depen

（A）Apache Atlas

（B）Apache Ranger

（C）Apache Knox

（D）Apache HBase

（A）Graphic design

（B）Front-end development

（C）Data analysis

（D）Cloud computing

（A）ETL jobs should be flexible to source data changes such as new variables or attributes.

（B）ETL jobs should be manually executed and monitored to ensure the highest quality.

（C）A failed ETL job should be re-run immediately without taking any corrective actions.

（D）A failed ETL job should always be marked as completed so that any other scheduled jobs can execute.

（A）Improving query performance

（B）Enforcing referential integrity

（C）Reducing data redundancy

（D）Increasing data security

（A）Minimize Bias-Variance trade-off

（B）Decrease trust between humans and machines

（C）Reduce misuse of data and facilitate its transparency

（D）Minimize transparency at the point of data collection

（A）Split table into two tables named Student and Zip

（B）Split table into two tables named Student and DoB

（C）Remove duplicate rows in the table

（D）Make Zip the primary key in the table

（A）Apache Flink

（B）Apache Beam

（C）Apache Sqoop

（D）Apache Flume

（E）Apache Kafka