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Allsoft Solutions Trainee Junior Data Analyst Interview Questions and Answers

Updated 21 Mar 2024

Allsoft Solutions Trainee Junior Data Analyst Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Andhra University and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Mostly it was based on python coding

Round 2 - Group Discussion 

By giving one topic they're checking our communication skills

Round 3 - Technical 

(5 Questions)

  • Q1. Joins in SQL,Domain knowledge on statistics
  • Q2. Asking a query on SQL
  • Q3. About project's in cv
  • Q4. Self introduction
  • Q5. Question based on teaching

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-

I applied via Company Website

Round 1 - Technical 

(3 Questions)

  • Q1. What is medical device?
  • Q2. Phase of clinical trial
  • Q3. What is diabetes
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

The Aptitude Test session accesses mathematical and logical reasoning abilities

Round 2 - Technical 

(6 Questions)

  • Q1. What is Vlookup
  • Ans. 

    Vlookup is a function in Excel used to search for a value in a table and return a corresponding value from another column.

    • Vlookup stands for 'Vertical Lookup'

    • It is commonly used in Excel to search for a value in the leftmost column of a table and return a value in the same row from a specified column

    • Syntax: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])

    • Example: =VLOOKUP(A2, B2:D10, 3, FALSE) - searc...

  • Answered by AI
  • Q2. Some IF else Question in Excel
  • Q3. What does your day in your previous organization look like?
  • Ans. 

    My day in my previous organization involved analyzing large datasets, creating reports, and presenting findings to stakeholders.

    • Reviewing and cleaning large datasets to ensure accuracy

    • Creating visualizations and reports to communicate insights

    • Collaborating with team members to identify trends and patterns

    • Presenting findings to stakeholders in meetings or presentations

  • Answered by AI
  • Q4. Could you share the technical skills you possess?
  • Ans. 

    I possess strong technical skills in data analysis, including proficiency in programming languages, statistical analysis, and data visualization tools.

    • Proficient in programming languages such as Python, R, SQL

    • Skilled in statistical analysis and data modeling techniques

    • Experience with data visualization tools like Tableau, Power BI

    • Knowledge of machine learning algorithms and techniques

  • Answered by AI
  • Q5. Can you explain what a Pivot Table is?
  • Ans. 

    A Pivot Table is a data summarization tool used in spreadsheet programs to analyze, summarize, and present data in a tabular format.

    • Pivot tables allow users to reorganize and summarize selected columns and rows of data to obtain desired insights.

    • Users can easily group and filter data, perform calculations, and create visualizations using pivot tables.

    • Pivot tables are commonly used in Excel and other spreadsheet program...

  • Answered by AI
  • Q6. Find the Highest-paid employee in each department along with their salary and department name.
  • Ans. 

    To find the highest-paid employee in each department, we need to group employees by department and then select the employee with the highest salary in each group.

    • Group employees by department

    • Find the employee with the highest salary in each group

    • Retrieve the employee's name, salary, and department name

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Nagarro Data Analyst interview:
  • SQL
  • Excel
  • Problem Solving
  • PowerBI
  • SQL Queries
Interview preparation tips for other job seekers - Practice common interviews and scenarios, especially for your role.
Be prepared to discuss past challenges and how did you overcome.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
No response
Round 1 - Technical 

(4 Questions)

  • Q1. What is the architecture of Apache Spark?
  • Ans. 

    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...

  • Answered by AI
  • Q2. What is the difference between the reduceBy and groupBy transformations in Apache Spark?
  • Ans. 

    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...

  • Answered by AI
  • Q3. What is the difference between RDD (Resilient Distributed Datasets) and DataFrame in Apache Spark?
  • Ans. 

    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...

  • Answered by AI
  • Q4. What are the different modes of execution in Apache Spark?
  • Ans. 

    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.

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via AmbitionBox and was interviewed in Nov 2024. There were 4 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. About your self
  • Q2. Communication skills
Round 2 - Technical 

(3 Questions)

  • Q1. Programming language
  • Q2. What tools do you utilize for data analysis?
  • Ans. 

    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

  • Answered by AI
  • Q3. Pandas numpy seaborn matplot
Round 3 - Coding Test 

Data analysis of code in the context of data analysis.

Round 4 - Aptitude Test 

Coding logical question paper.

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Azure Scenario based questions
  • Q2. Pyspark Coding based questions
Round 2 - One-on-one 

(2 Questions)

  • Q1. ADF, Databricks related question
  • Q2. Spark Performance problem and scenarios
  • Ans. 

    Spark performance problems can arise due to inefficient code, data skew, resource constraints, and improper configuration.

    • Inefficient code can lead to slow performance, such as using collect() on large datasets.

    • Data skew can cause uneven distribution of data across partitions, impacting processing time.

    • Resource constraints like insufficient memory or CPU can result in slow Spark jobs.

    • Improper configuration settings, su...

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Fair and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. DAX Related Syntax and Codes
  • Q2. Data Modelling, SQL, Python
Round 2 - Technical 

(1 Question)

  • Q1. No Response from HR after calling of selection after Round 1
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. How to Ensure Data loss in ETL pipeline
  • Q2. Why to spin up Dataproc cluster when there is serverless batch job exists.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Walk-in and was interviewed in Jun 2024. There was 1 interview round.

Round 1 - HR 

(7 Questions)

  • Q1. I'm changing my domain because I don't see much scope for growth in my current domain and I want to make advantage of new opportunities for learning, creativity and success. Additional, I believe that the ...
  • Q2. I understand that being asked to work for an extended number of hours comes with a good reason in the first place, so I'm ok with it.
  • Q3. Over the year I have really upskilled my self. I believe based on the market standards for this particular role and my experience and skill set a salary range between 10000- 35000 would be fair and appreci...
  • Q4. Can you share more about the day to day responsibilities of this role?
  • Q5. If I am hired for this role, what would you want me to a achieve in my first two months?
  • Q6. No ma'am certainly not. Before coming here, I read the job description thoroughly and I have the right skills and qualification required for the role.
  • Q7. I believe a change in work environment with stimulate my creativity and drive for success.

Interview Preparation Tips

Interview preparation tips for other job seekers - I am passionate about my career and I strive to continually develop my skills and abilities to best serve my employers .
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Python Lambda Function
  • Q2. What are pods in Kubernetes
  • Ans. 

    Pods are the smallest deployable units in Kubernetes, consisting of one or more containers.

    • Pods are used to run and manage containers in Kubernetes

    • Each pod has its own unique IP address within the Kubernetes cluster

    • Pods can contain multiple containers that share resources and are scheduled together

    • Pods are ephemeral and can be easily created, destroyed, or replicated

    • Pods can be managed and scaled using Kubernetes contr

  • Answered by AI

Skills evaluated in this interview

Allsoft Solutions Interview FAQs

How many rounds are there in Allsoft Solutions Trainee Junior Data Analyst interview?
Allsoft Solutions interview process usually has 3 rounds. The most common rounds in the Allsoft Solutions interview process are Coding Test, Group Discussion and Technical.
What are the top questions asked in Allsoft Solutions Trainee Junior Data Analyst interview?

Some of the top questions asked at the Allsoft Solutions Trainee Junior Data Analyst interview -

  1. Joins in SQL,Domain knowledge on statist...read more
  2. Asking a query on ...read more
  3. Question based on teach...read more

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Allsoft Solutions Trainee Junior Data Analyst Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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