Intelligent Big Data - Sqoop Assessment Test

Sqoop is the best tool for transferring data between Hadoop and relational database servers. It is specifically designed for this purpose and provides a simple command-line interface to import data from databases into Hadoop and export data from Hadoop into databases. Sqoop supports parallel data transfers, automatic schema mapping, and can handle large datasets efficiently. It also provides built-in connectors for various database systems, making it easy to transfer data between Hadoop and relational databases.

Sqoop Export is the correct answer because it is a tool specifically designed to transfer data from HDFS (Hadoop Distributed File System) to RDBMS (Relational Database Management System). Sqoop Import, on the other hand, is used to transfer data from RDBMS to HDFS. Hadoop and Sqoop Mover are not valid options as they do not perform data transfer between HDFS and RDBMS.

The correct answer is "Metastore" because a Metastore is a tool that Sqoop hosts a shared metadata repository. A metadata repository is a central location where metadata, which provides information about data, is stored and managed. Sqoop is a tool used for transferring data between Hadoop and relational databases, and it uses a Metastore to store and manage the metadata related to the data being transferred.

The default file format for data import in Sqoop is the Delimited Text File Format. This format is commonly used for importing data from relational databases into Hadoop. It allows for easy parsing and processing of data as it is stored in a simple text format with each field separated by a delimiter, such as a comma or tab. This format is widely supported and can be easily read by various Hadoop tools and applications.

Sqoop is a tool used for importing data from relational databases (RDBMS) into Hadoop. It allows users to transfer data from a database table to the Hadoop Distributed File System (HDFS). Therefore, the correct answer is RDBMS.

Eval is the correct answer because it is a command in Sqoop that allows users to evaluate SQL statements and display the results. It is used to test SQL queries and verify their correctness before running them against the database. This feature is particularly useful when troubleshooting or debugging SQL statements in Sqoop.

The WHERE clause is used in SQL to filter rows based on a specified condition. By using the WHERE clause, you can specify a condition that must be met for a row to be included in the result set. This allows you to import only a subset of rows from a table that meet the specified condition, rather than importing the entire table.

The metastore database can be hosted both inside and outside the Hadoop cluster. This means that it can be located within the cluster itself, allowing for easy access and integration with other Hadoop components. However, it can also be hosted outside the cluster, providing flexibility and the ability to connect with external systems or tools. This allows for greater customization and scalability options for managing and accessing metadata in Hadoop.

The command "Codegen" helps to generate code that can be used to interact with database records. This code generation process simplifies the development of database-related functionality by automatically creating the necessary code for performing CRUD (Create, Read, Update, Delete) operations on the records. By using "Codegen," developers can save time and effort in writing repetitive code and focus more on implementing the business logic of their application.

In Sqoop merge, the dataset that is preserved is the new one. This means that when merging datasets, the new dataset will overwrite any conflicting data in the old dataset, ensuring that the latest data is retained.