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Amdocs
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Big data refers to large and complex data sets that are difficult to process using traditional data processing applications.
Big data involves large volumes of data
It includes data from various sources such as social media, sensors, and business transactions
Big data requires specialized tools and technologies for processing and analysis
Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.
Spark is a distributed computing framework that can process data in memory for faster processing.
It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.
Spark provides high-level APIs in Java, Scala, Python, and R for ease of use.
It supports various data sources li...
Our application is a data engineering platform that processes and analyzes large volumes of data to provide valuable insights.
Our application uses various data processing techniques such as ETL (Extract, Transform, Load) to clean and transform raw data into usable formats.
We utilize big data technologies like Hadoop, Spark, and Kafka to handle large datasets efficiently.
The application also includes machine learning al...
Factorial coding questions and SQL coding questions using group by
Amdocs is a software and services provider for communications, media, and entertainment industries.
Founded in 1982 in Israel
Headquartered in Chesterfield, Missouri
Provides customer experience solutions for telecom companies
Offers services such as billing, CRM, and data analytics
posted on 26 Oct 2020
I applied via Naukri.com and was interviewed in Sep 2020. There were 4 interview rounds.
Data scraping, computer vision, agile methodologies, change request, and testing methods are all important aspects of software engineering.
Data scraping involves extracting data from websites or other sources.
Computer vision involves using algorithms to interpret and analyze visual data.
Agile methodologies are a set of principles for software development that prioritize flexibility and collaboration.
Change requests are...
posted on 16 May 2021
I applied via Recruitment Consultant and was interviewed in Nov 2020. There were 4 interview rounds.
posted on 28 Apr 2021
I applied via Naukri.com and was interviewed in Mar 2021. There were 4 interview rounds.
posted on 30 Nov 2021
I applied via Recruitment Consultant and was interviewed before Nov 2020. There were 3 interview rounds.
Find sum of squares of numbers in list using stream API.
Use mapToInt() to convert list of integers to IntStream
Use map() to square each element of IntStream
Use sum() to get the sum of squares
Searching in 2D sorted array row wise and column wise.
Start from the top right corner or bottom left corner
Compare the target with the current element
Move left or down if target is smaller or move right or up if target is larger
Repeat until target is found or out of bounds
posted on 8 Apr 2021
posted on 5 Dec 2021
I applied via Campus Placement and was interviewed before Dec 2020. There were 4 interview rounds.
Use Dijkstra's algorithm to find the shortest path between 2 vertices in a graph.
Implement Dijkstra's algorithm to find the shortest path
Create a priority queue to keep track of the vertices with the shortest distance
Use a visited set to avoid revisiting vertices
Stop when the destination vertex is reached
Return the shortest path found
Example: finding the shortest path between A and D in a graph with weighted edges: A->...
Find pairs in an array with sum equal to 0.
Use a hash table to store the frequency of each element.
Iterate through the array and for each element, check if its complement (negative value) exists in the hash table.
If it exists, add the frequency of the complement to the count of pairs.
Return the count of pairs.
Example: array = [2, -2, 3, 0, -3], pairs = 2 (-2, 2 and -3, 3)
I appeared for an interview in Jul 2019.
based on 2 interviews
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