JNTU B.Tech IV DATA ANALYTICS Previous Question Paper (July/August - 2022 - R16)

Data collection is the process of gathering information from relevant sources to address research problems. Primary data is original data collected specifically for the research at hand. Methods include: 1) Surveys/Questionnaires: Distributing structured sets of questions to a target audience via email, web forms, or in-person. 2) Interviews: Conducting direct, one-on-one conversations to gain qualitative insights. 3) Observations: Systematically recording behaviors or events in their natural setting. 4) Experiments: Controlling variables to observe cause-and-effect relationships.

Secondary data refers to information that has already been collected by others for different purposes. Sources include: 1) Internal records: Company databases, sales reports, and customer logs. 2) Government publications: Census data, economic reports, and public health statistics. 3) Academic journals and books: Existing research studies and literature reviews. 4) Online databases: Industry-specific repositories and public data portals.

The export job process in Amazon S3, typically facilitated through services like AWS Import/Export or S3 Batch Operations, involves moving large datasets from S3 to physical storage devices or external destinations. The key steps are:

1. Preparation: Identify the S3 bucket and the specific objects or prefixes to be exported. Ensure the IAM role has sufficient permissions to read the data and perform the export task.
2. Job Creation: Use the AWS Management Console, CLI, or SDK to initiate an export job. Specify the manifest file that lists the objects to be exported.
3. Configuration: Define the destination parameters, such as the target storage device or the S3 bucket where the exported job results (logs and completion reports) will be stored.
4. Execution: AWS processes the job by reading the specified objects from S3. During this phase, the system validates the data integrity and prepares the payload for transfer.
5. Monitoring: Track the progress of the job using the job ID. AWS provides status updates (e.g., Pending, InProgress, Completed, or Failed).
6. Completion and Verification: Once the job finishes, review the completion report generated in the destination bucket to ensure all objects were exported successfully and check for any errors or skipped files.