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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...
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...
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 ...
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I have a strong background in software engineering and a passion for innovation, making me a valuable asset to HSBC.
I have a proven track record of successfully delivering high-quality software solutions in previous roles.
I am highly skilled in various programming languages and technologies, including Java, Python, and SQL.
I have experience working in agile development environments, allowing me to adapt quickly to chan...
Find an odd occurring number among even occurring numbers.
Use XOR operation to cancel out even occurring numbers and get the odd occurring number.
Iterate through the array and XOR each element with the result variable.
The final result will be the odd occurring number.
Print the spiral order of a binary tree and matrix.
For binary tree, use level order traversal and alternate direction for each level.
For matrix, use four pointers to traverse in spiral order.
Example for binary tree: 1 -> 2 -> 3 -> 4 -> 5 -> 6 -> 7 -> 8 -> 9
Example for matrix: 1 2 3 4 -> 8 7 6 5 -> 9 10 11 12 -> 16 15 14 13
Finding pairs in an array with a given sum.
Iterate through the array and for each element, check if the difference between the given sum and the element exists in the array.
Use a hash table to store the elements of the array and their indices for faster lookup.
If there are multiple pairs with the same sum, return any one of them.
If no pair is found, return null or an empty array.
Find total number of k element with given avg in an array in minimum time complexity.
Use sliding window technique to traverse the array in O(n) time complexity.
Maintain a sum variable to keep track of the sum of elements in the window.
If the sum of elements in the window is equal to k times the given avg, increment the count.
Move the window by subtracting the first element and adding the next element in the array.
Printing non-boundary elements of a binary tree
Traverse the tree in any order (preorder, inorder, postorder)
Check if the current node is not a boundary node (not the first or last node in its level)
If it is not a boundary node, print its value
Recursively traverse its left and right subtrees
I applied via Naukri.com and was interviewed before Apr 2020. There were 3 interview rounds.
SCD Type 2 is a technique used to track historical changes in data over time in a data warehouse.
SCD Type 2 maintains a separate row for each change in data, with a start and end date.
It requires a surrogate key to uniquely identify each row.
Informatica provides a built-in SCD Type 2 transformation to implement this technique.
Example: tracking changes in customer addresses over time.
I applied via Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.
It had 3 questions, the level was medium hardish
I applied via LinkedIn and was interviewed in Oct 2024. There was 1 interview round.
Write code to return the maximum profit by buying and selling stocks using available money
2 hours long was the coding round
I applied via Campus Placement and was interviewed before Dec 2023. There were 2 interview rounds.
Asked Two 2 DSA questions
based on 1 interview
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