TCS IT Analyst Interview Questions, Process, and Tips

MERGE query in SQL databricks combines INSERT, UPDATE, and DELETE operations into a single statement.

• MERGE statement is used to perform INSERT, UPDATE, and DELETE operations in a single query

• It is useful for synchronizing two tables by updating existing records, inserting new records, and deleting records that no longer exist

• Syntax: MERGE INTO target_table USING source_table ON condition WHEN MATCHED THEN UPDATE SET co...read more

Current project flow involves gathering requirements, designing solutions, development, testing, and deployment.

• Gather requirements from stakeholders

• Design solutions based on requirements

• Develop the solution using appropriate technologies

• Test the solution for bugs and errors

• Deploy the solution for end users

Narrow transformation focuses on a single partition of data at a time, while wide transformation processes multiple partitions simultaneously.

• Narrow transformation is more efficient for small datasets, while wide transformation is better for large datasets.

• Examples of narrow transformations include map and filter operations, while wide transformations include groupByKey and reduceByKey.

• Wide transformations require shuf...read more

Data skew issue can be resolved by partitioning data, using indexing, optimizing queries, and redistributing data.

• Partitioning data to distribute evenly across nodes

• Using indexing to improve query performance

• Optimizing queries to reduce data skew

• Redistributing data to balance the workload

map transforms each element of a collection, flatMap transforms each element into a new collection and flattens the result

• Map applies a function to each element of a collection and returns a new collection with the results

• FlatMap applies a function that returns a collection to each element of a collection, then flattens the result into a single collection

• Example: map([1, 2, 3], x => [x, x+1]) returns [[1, 2], [2, 3]...read more

DataFrame is a two-dimensional tabular data structure in Spark, while Dataset is a distributed collection of data with strong typing.

• DataFrame is a collection of distributed data organized into named columns, similar to a table in a relational database.

• Dataset is a distributed collection of data with strong typing, allowing for compile-time type safety.

• DataFrame is more suitable for structured data processing, while Da...read more

EKS clusters can be monitored using AWS CloudWatch, Prometheus, and Grafana.

• Use AWS CloudWatch to monitor EKS clusters for metrics like CPU utilization, memory usage, and network traffic.

• Set up Prometheus to collect metrics from EKS clusters using the Prometheus Operator.

• Visualize the collected metrics using Grafana dashboards for better insights and monitoring.

• Implement alerts and notifications in CloudWatch for proac

Pager object modal is a user interface component that displays content in a modal window with pagination controls.

• Pager object modal is used to display a large amount of content in a modal window with the ability to navigate through pages.

• It typically includes pagination controls such as 'Next', 'Previous', and page numbers.

• This component is commonly used in web applications to present information in a structured and o

Create a pipeline to extract data from multiple sources and load it into Redshift.

• Identify the sources from which data needs to be extracted (e.g. databases, APIs, files)

• Use ETL tools like Apache NiFi, Talend, or AWS Glue to extract, transform, and load the data

• Map the data to the appropriate tables in Redshift

• Schedule the pipeline to run at regular intervals to keep the data up to date