A data engineer is troubleshooting a slow HDFS read operation. The client is reading a large file from a remote location. The network bandwidth is limited. Which factor is most likely to improve read performance?

Increasing the HDFS block size to 256 MB.

Ensuring the client reads from a DataNode that is geographically close.

Increasing the replication factor to 4.

Using the HDFS Balancer to redistribute blocks.

A financial services company needs to import customer records from an Oracle database into HDFS on a daily basis. The table has 10 million rows and the import must be incremental, only pulling new or updated records since the last run. Which tool and approach should they use?

Use Apache Sqoop with the --incremental append option and a column that tracks the last modified timestamp.

Use Apache Kafka with a JDBC source connector to stream the entire table every day.

Use HDFS distcp to copy the Oracle data files directly.

Use Apache Flume with a spooldir source pointing to the Oracle export directory.

Dell Data Engineering Optimize

Domain 3Objective 2

Describe the Hadoop Ecosystem, HDFS, and Data Ingestion Tools DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 2)

Part of the Extract-Transform-Load (ETL) Offload with Hadoop and Spark domain, which accounts for 18% of the DATA-ENGINEERING-OPTIMIZE exam.

20questions here

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Questions 6–10

6expert · medium
A data engineer is troubleshooting a slow HDFS read operation. The client is reading a large file from a remote location. The network bandwidth is limited. Which factor is most likely to improve read performance?
Select an answer first
7foundation · easy
What is the default replication factor for data blocks in HDFS?
Select an answer first
8foundation · easy
Which tool is commonly used for collecting and aggregating streaming log data from multiple sources into HDFS?
Select an answer first
9application · medium
A financial services company needs to import customer records from an Oracle database into HDFS on a daily basis. The table has 10 million rows and the import must be incremental, only pulling new or updated records since the last run. Which tool and approach should they use?
Select an answer first
10application · medium
A data science team needs to run iterative machine learning algorithms on data stored in HDFS. The algorithms repeatedly access the same dataset. Which Hadoop ecosystem component is best suited for this workload?
Select an answer first

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Describe the Hadoop Ecosystem, HDFS, and Data Ingestion Tools DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 2)

Questions 6–10

A data engineer is troubleshooting a slow HDFS read operation. The client is reading a large file from a remote location. The network bandwidth is limited. Which factor is most likely to improve read performance?

What is the default replication factor for data blocks in HDFS?

Which tool is commonly used for collecting and aggregating streaming log data from multiple sources into HDFS?

A financial services company needs to import customer records from an Oracle database into HDFS on a daily basis. The table has 10 million rows and the import must be incremental, only pulling new or updated records since the last run. Which tool and approach should they use?

A data science team needs to run iterative machine learning algorithms on data stored in HDFS. The algorithms repeatedly access the same dataset. Which Hadoop ecosystem component is best suited for this workload?

Keep studying — Extract-Transform-Load (ETL) Offload with Hadoop and Spark