Fidelity National Financial Interview Questions and Answers

I have extensive experience in various insurance specialties, including life, health, and property insurance.

• Life Insurance: Assisted clients in selecting policies that best fit their financial goals, ensuring long-term security for their families.

• Health Insurance: Guided clients through complex health plans, helping them understand coverage options and benefits.

• Property Insurance: Evaluated clients' needs for home and...read more

Insurance agents specialize in assessing risks and providing tailored insurance solutions to clients.

• Risk Assessment: Evaluating clients' needs to determine appropriate coverage.

• Policy Customization: Tailoring insurance policies to fit individual or business requirements.

• Client Education: Explaining complex insurance terms and conditions to clients.

• Claims Assistance: Helping clients navigate the claims process effectiv...read more

Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

• Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing.

• It stores data in Parquet format and uses a transaction log to keep track of all the changes made to the data.

• Delta Lake architecture includes a storage layer, a transaction log, and a metadata l...read more

Activities in ADF refer to the tasks or operations that can be performed in Azure Data Factory.

• Activities can include data movement, data transformation, data processing, and data orchestration.

• Examples of activities in ADF are Copy Data activity, Execute Pipeline activity, Lookup activity, and Web activity.

• Activities can be chained together in pipelines to create end-to-end data workflows.

• Each activity in ADF has prop...read more

Mounting process in Databricks allows users to access external data sources within the Databricks environment.

• Mounting allows users to access external data sources like Azure Blob Storage, AWS S3, etc.

• Users can mount a storage account to a Databricks File System (DBFS) path using the Databricks UI or CLI.

• Mounted data can be accessed like regular DBFS paths in Databricks notebooks and jobs.

Blob storage is for unstructured data, while Data Lake is for structured and unstructured data with metadata.

• Blob storage is optimized for storing large amounts of unstructured data like images, videos, and backups.

• Data Lake is designed to store structured and unstructured data with additional metadata for easier organization and analysis.

• Blob storage is typically used for simple storage needs, while Data Lake is used ...read more