10+ Cloudera Interview Questions and Answers

The task is to determine the number of possible ways to roll all the dice such that the sum of the face-up numbers equals the given 'target' sum.

• Use dynamic programming to solve the problem efficiently.

• Create a 2D array to store the number of ways to achieve each sum with the given number of dice.

• Iterate through the dice and faces to calculate the number of ways to reach each sum.

• Return the result modulo 10^9 + 7.

• Optimize the solution to use no more than O(S) extra space by u...read more

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.

Implement a stack using two queues to store integer values with specified functions.

• Use two queues to simulate stack operations efficiently.

• Maintain the top element in one of the queues for easy access.

• Ensure proper handling of edge cases like empty stack.

• Example: Push elements 5, 10, 15; Pop elements; Check top element.

• Example: Check if stack is empty; Get stack size.

Find the maximum sum of a subarray in an array of integers.

• Iterate through the array and keep track of the maximum sum subarray ending at each index.

• Use Kadane's algorithm to efficiently find the maximum subarray sum.

• Consider the case where all elements are negative to handle edge cases.

• Example: For input [1, -2, 3, -1, 2], the maximum subarray sum is 4.

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.

Deep learning has applications in image and speech recognition, natural language processing, autonomous vehicles, etc.

• Image recognition - identifying objects in images, used in self-driving cars, medical imaging, etc.

• Speech recognition - converting spoken language into text, used in virtual assistants like Siri, Alexa, etc.

• Natural language processing - understanding and generating human language, used in chatbots, language translation, etc.

• Autonomous vehicles - enabling cars ...read more

Find the nth largest salary from a list of salaries.

• Sort the list of salaries in descending order.

• Remove duplicates from the sorted list.

• Return the salary at index n-1 from the sorted list.

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.

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