Luxoft Interview Questions, Process, and Tips

Q1. How annotation works?
Ans. 
Annotations in Java provide metadata about a program that can be used by the compiler or at runtime.
• Annotations start with the @ symbol.

• Annotations can be used to provide information to the compiler or to runtime environments.

• Annotations can be used to define custom metadata for classes, methods, fields, etc.

• Annotations can also be used for code generation, documentation, and validation.

• Examples of annotations in Java ...read more
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Q2. CondurentSkipListMap, how does it work
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ConcurrentSkipListMap is a concurrent, sorted map implementation in Java.
• ConcurrentSkipListMap is a concurrent version of SkipListMap, which is a sorted map implementation based on skip list data structure.

• It allows multiple threads to access and modify the map concurrently.

• It provides logarithmic time complexity for most operations, making it efficient for concurrent access.

• Example: ConcurrentSkipListMap
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Q1. Interceptors, Guards, AOT vs JIT
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Q2. Angular Lifecycle hooks, unit tests, lazy loading
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Q1. Interceptors, guards, forms
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Q2. Angular lifecycle hooks, Aot compolation
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The interview went well, covering topics such as datamarts, Linux scripts, and more.

Q1. What is a binary upgrade?
Ans. 
A binary upgrade is a software upgrade that involves replacing the existing version with a new version without changing the data format or structure.
• Binary upgrades are typically faster and easier to implement compared to non-binary upgrades.

• They are commonly used in software applications to ensure compatibility with existing data and configurations.

• An example of a binary upgrade is updating a software application from...read more
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Q1. Types of clusters in Databricks
Ans. 
Types of clusters in Databricks include Standard, High Concurrency, and Single Node clusters.
• Standard clusters are used for general-purpose workloads

• High Concurrency clusters are optimized for concurrent workloads

• Single Node clusters are used for development and testing purposes
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Q2. What is catalyst optimiser in Spark
Ans. 
Catalyst optimizer is a query optimizer in Apache Spark that leverages advanced techniques to optimize and improve the performance of Spark SQL queries.
• Catalyst optimizer uses a rule-based and cost-based optimization approach to generate an optimized query plan.

• It performs various optimizations such as constant folding, predicate pushdown, and projection pruning to improve query performance.

• Catalyst optimizer also leve...read more
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Q3. What is explode function
Ans. 
Explode function is used in Apache Spark to split an array into multiple rows.
• Used in Apache Spark to split an array into multiple rows

• Creates a new row for each element in the array

• Commonly used in data processing and transformation tasks
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Q4. Delta lake vs data lake
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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, schema enforcement, and time travel capabilities on top of data lakes.

• Data lakes are a storage repository that holds a vast amount of raw data in its native format until it is needed.

• Delta Lake is optimized for big data workloads and provides reliability and performance ...read more
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Q5. What is RDD ?
Ans. 
RDD stands for Resilient Distributed Dataset, a fundamental data structure in Apache Spark.
• RDD is a fault-tolerant collection of elements that can be operated on in parallel.

• RDDs are immutable, meaning they cannot be changed once created.

• RDDs support two types of operations: transformations (creating a new RDD from an existing one) and actions (returning a value to the driver program).
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2 Basic Programsl on LRU amd strings

Q1. Core java , java 8 concepts, spring core concepts
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Q1. Salary discussion
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Q1. Policy briefing
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