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I applied via Referral and was interviewed before Mar 2022. There were 3 interview rounds.
Data annotation is the process of labeling data to make it usable for machine learning algorithms.
Data annotation involves adding metadata to raw data to make it understandable for machines.
It is used to train machine learning models and improve their accuracy.
Examples of data annotation include image labeling, text tagging, and speech recognition.
Data annotation can be done manually or with the help of automated tools...
Yes, I am okay with this package.
I have experience working with similar packages.
I am familiar with the tools and technologies used in this package.
I am confident in my ability to utilize this package effectively.
I am open to learning and adapting to new packages if needed.
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posted on 31 Dec 2024
Apache Spark architecture includes a cluster manager, worker nodes, and driver program.
Apache Spark architecture consists of a cluster manager, which allocates resources and schedules tasks.
Worker nodes execute tasks and store data in memory or disk.
Driver program coordinates tasks and communicates with the cluster manager.
Spark applications run as independent sets of processes on a cluster, coordinated by the SparkCon...
reduceBy is used to aggregate data based on key, while groupBy is used to group data based on key.
reduceBy is a transformation that combines the values of each key using an associative function and a neutral 'zero value'.
groupBy is a transformation that groups the data based on a key and returns a grouped data set.
reduceBy is more efficient for aggregating data as it reduces the data before shuffling, while groupBy shu...
RDD is a low-level abstraction representing a distributed collection of objects, while DataFrame is a higher-level abstraction representing a distributed collection of data organized into named columns.
RDD is more suitable for unstructured data and low-level transformations, while DataFrame is more suitable for structured data and high-level abstractions.
DataFrames provide optimizations like query optimization and code...
The different modes of execution in Apache Spark include local mode, standalone mode, YARN mode, and Mesos mode.
Local mode: Spark runs on a single machine with one executor.
Standalone mode: Spark runs on a cluster managed by a standalone cluster manager.
YARN mode: Spark runs on a Hadoop cluster using YARN as the resource manager.
Mesos mode: Spark runs on a Mesos cluster with Mesos as the resource manager.
I applied via AmbitionBox and was interviewed in Nov 2024. There were 4 interview rounds.
I utilize tools such as Excel, Python, SQL, and Tableau for data analysis.
Excel for basic data manipulation and visualization
Python for advanced data analysis and machine learning
SQL for querying databases
Tableau for creating interactive visualizations
Data analysis of code in the context of data analysis.
Coding logical question paper.
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
I applied via Job Fair and was interviewed in Nov 2024. There were 2 interview rounds.
posted on 26 Nov 2024
I applied via Campus Placement
It was related to Aptitude MCQ and 2-coding test
A palindrome of a number is a number that remains the same when its digits are reversed.
To check if a number is a palindrome, reverse the number and compare it with the original number.
Examples: 121 is a palindrome, 123 is not a palindrome.
Merging two linked lists involves combining the elements of both lists into a single list.
Create a new linked list to store the merged elements
Traverse through both linked lists and add elements to the new list
Handle cases where one list is longer than the other
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
Enhanced optimization in AWS Glue improves job performance by automatically adjusting resources based on workload
Enhanced optimization in AWS Glue automatically adjusts resources like DPUs based on workload
It helps improve job performance by optimizing resource allocation
Users can enable enhanced optimization in AWS Glue job settings
Optimizing querying in Amazon Redshift involves proper table design, distribution keys, sort keys, and query optimization techniques.
Use appropriate distribution keys to evenly distribute data across nodes for parallel processing.
Utilize sort keys to physically order data on disk, reducing the need for sorting during queries.
Avoid using SELECT * and instead specify only the columns needed to reduce data transfer.
Use AN...
posted on 28 Sep 2024
I applied via Campus Placement and was interviewed in Aug 2024. There were 8 interview rounds.
Database Management system SQL and PlSQL
Database Base Management system SQL and PlSQL
Database Management system
Database Management system
Database Management system
Database Management system
Database Base Management system
posted on 22 Oct 2024
Primary and standby databases can be synced using Data Guard in Oracle.
Configure Data Guard on primary and standby databases
Enable redo transport services
Monitor and resolve any synchronization issues
Perform switchover or failover when necessary
Seeking new challenges and growth opportunities in a dynamic environment.
Looking for new challenges to enhance my skills and knowledge
Seeking growth opportunities for career advancement
Interested in working in a more dynamic and innovative environment
posted on 23 Jul 2024
To patch specific db components to reduce downtime, follow these steps:
Identify the specific components that need to be patched
Plan the patching process during a scheduled maintenance window
Backup the database before applying patches
Apply patches to the specific components one by one
Test the patched components to ensure they are functioning correctly
Monitor the database for any issues post-patching
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