Cyient Junior Data Analyst Interview Questions and Answers

Q1. What is duel axis
Ans. 
Dual axis is a feature in data visualization where two different scales are used on the same chart to represent two different data sets.
• Dual axis allows for comparing two different measures on the same chart

• Each measure is assigned to its own axis, allowing for easy comparison

• Commonly used in tools like Tableau for creating more complex visualizations
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Q2. What is scatter plot
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A scatter plot is a type of data visualization that displays the relationship between two numerical variables through dots on a graph.
• Scatter plots are used to identify patterns and relationships between variables.

• Each dot on the plot represents a single data point with the x-axis representing one variable and the y-axis representing the other variable.

• The pattern of the dots can indicate the strength and direction of ...read more
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Q1. What is blending
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Blending is the process of combining multiple data sources or datasets to create a unified view.
• Blending involves merging data from different sources to gain insights or make decisions.

• It helps in creating a comprehensive dataset by combining relevant information from various sources.

• Blending can be done using tools like Tableau, Power BI, or Python libraries like Pandas.

• For example, blending sales data from CRM with c...read more
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Q2. What is joining
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Q1. Expected salary
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Q1. About Excel,Power BI, Tableau,SQL
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About Data Analyst Position

About the services and products provided by the company

The Aptitude Test session accesses mathematical and logical reasoning abilities

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...read more
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Q2. Some IF else Question in Excel
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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
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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
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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...read more
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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
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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...read more
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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...read more
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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...read more
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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.
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Q1. About your self
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Q2. Communication skills
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Q1. Programming language
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Q2. What tools do you utilize for data analysis?
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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
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Q3. Pandas numpy seaborn matplot
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Data analysis of code in the context of data analysis.

Coding logical question paper.

Basics of mathematical ability and verbal ability

Q1. Introduction - explain projects
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Q2. Data analytics explain
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Q1. What is the importance of data analysis?
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Q2. What steps should be taken to become a data analyst?
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