Cloudera
10+ AVL Business Solutions Interview Questions and Answers
Q1. Dice Throws Problem Statement
You are given D dice, each having F faces numbered from 1 to F. The task is to determine the number of possible ways to roll all the dice such that the sum of the face-up numbers e...read more
Q2. Intersection of two Linked List Scheduling Algorithms in OS Multithreading in OS OOPS 2nd highest salary of employee SQL
Intersection of two linked lists is finding the common node(s) between them.
Traverse both lists simultaneously and compare each node to find the intersection point.
Use a hash set to store nodes of one list and check for intersection in the other list.
Optimize by finding the lengths of both lists and aligning the pointers before comparison.
Q3. Stack using Two Queues Problem Statement
Develop a Stack Data Structure to store integer values using two Queues internally.
Your stack implementation should provide these public functions:
Explanation:
1. Cons...read moreQ4. Maximum Subarray Sum Problem Statement
Given an array 'ARR' of integers with length 'N', the task is to determine the sum of the subarray (including an empty subarray) that yields the maximum sum among all poss...read more
Q5. 3 programming experience with intermediate difficult level
I have intermediate level experience in programming with Java, Python, and C++.
I have worked on projects involving data structures and algorithms.
I have experience with object-oriented programming and design patterns.
I have developed web applications using frameworks like Spring and Django.
I have also worked on projects involving machine learning and natural language processing.
I am comfortable working with databases and have experience with SQL and NoSQL databases.
Q8. Experience in Hadoop
I have experience in Hadoop.
Worked on Hadoop ecosystem components like HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and Oozie.
Developed and maintained Hadoop clusters for data processing and analysis.
Optimized Hadoop jobs for better performance and scalability.
Implemented security measures for Hadoop clusters.
Troubleshot and resolved issues related to Hadoop clusters.
Q9. On-page SEO optimization
On-page SEO optimization involves optimizing individual web pages to rank higher and earn more relevant traffic in search engines.
Optimize meta tags including title, description, and keywords
Create high-quality, relevant content with targeted keywords
Optimize images with descriptive file names and alt text
Use internal linking to improve site structure and navigation
Ensure fast page load speed and mobile responsiveness
Q10. How you manage escalations
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