70 Semarchy Interview Questions and Answers | HR, Technical & Aptitude Prep

20 common asked question in every interview

Data Analytics

Ques:- What is a pivot table and how do you use it in Excel or other tools

Asked In :- Xoriant Solutions Pvt Ltd, Fluid AI, Hidden Brains InfoTech, WSNE Consulting, Netaxis IT Solutions (p), MattsenKumar Services, Protege Solutions, Trigent Software, iROID Technologies, TRICON INFOTECH PVT,

Right Answer:
A pivot table is a data processing tool that summarizes and analyzes data in a spreadsheet, like Excel. You use it by selecting your data range, then inserting a pivot table, and dragging fields into rows, columns, values, and filters to organize and summarize the data as needed.

Data Analytics

Ques:- What is the purpose of feature engineering in data analysis

Asked In :- KRIOS Info Solutions, WSNE Consulting, AnAr Solutions, Queppelin Technology Solutions, Rock Solid Solutions, Ziffity Solutions, Aranca (Mumbai), Solace Infotech, Born Commerce, GOQii Technologies,

Right Answer:
The purpose of feature engineering in data analysis is to create, modify, or select variables (features) that improve the performance of machine learning models by making the data more relevant and informative for the analysis.

Data Analytics

Ques:- What is clustering in data analysis and how is it different from classification

Asked In :- Medvarsity Online, AnAr Solutions, MattsenKumar Services, Protege Solutions, Shipco IT, Chegg India, Fortunesoft IT Innovations, GOQii Technologies, Spadeworx Software Services, Dhruvsoft Services,

Right Answer:
Clustering in data analysis is the process of grouping similar data points together based on their characteristics, without prior labels. It is an unsupervised learning technique. In contrast, classification involves assigning predefined labels to data points based on their features, using a supervised learning approach.

Data Analytics

Ques:- How do you handle missing data in a dataset

Asked In :- Rock Solid Solutions, Protege Solutions, Ziffity Solutions, Toxsl Technologies, Cybage Software, WFM, Oodles Technologies, Sun Dew Solutions, Startup - Navya Network, LenDenClub,

Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.

Data Analytics

Ques:- What is exploratory data analysis (EDA)

Asked In :- Xoriant Solutions Pvt Ltd, Fluid AI, Rock Solid Solutions, Trigent Software, Aranca (Mumbai), Indocosmo Systems, Solace Infotech, Spadeworx Software Services, WFM, Recodem,

Right Answer:
Exploratory Data Analysis (EDA) is the process of analyzing and summarizing datasets to understand their main characteristics, often using visual methods. It helps identify patterns, trends, and anomalies in the data before applying formal modeling techniques.

Data Modelling Database Administrator (dba)

Ques:- What role views play in dimensional modeling?

Asked In :- Ray Business Technologies, CropIn Technology Solutions, Verticurl Marketing, Polestar Solutions & Services India LLP, CloudMoyo, Inc, DataCore, Estuate, Quantile, Verse Innovation, IDP Education,

Right Answer:
Views in dimensional modeling serve as a way to simplify complex queries by presenting data in a more user-friendly format. They can encapsulate complex joins and aggregations, making it easier for users to access and analyze data without needing to understand the underlying database structure.

Data Modelling Database Architect/ Designer

Ques:- What is ERD?

Asked In :- sciative, APPS Associates Pvt., DecisionTree Analytics and Services, Apttus Software, Advanced Business & Healthcare Solutions India, Solix Technologies, Inc, DataCore, DMZ, TFT, UIDAI,

Right Answer:
An ERD, or Entity-Relationship Diagram, is a visual representation of the entities in a database and their relationships to each other.

Data Modelling Database Architect/ Designer

Ques:- What is First Normal Form

Asked In :- AnAr Solutions, Tredence Analytics Solutions, Verticurl Marketing, Polestar Solutions & Services India LLP, ABN AMRO, Eastman Chemical, Algorithmic Trading Strategies Pty, Prodapt SA, Salesforce Marketing Cloud, OfBusiness,

Right Answer:
First Normal Form (1NF) is a property of a relation in a database that ensures all columns contain atomic, indivisible values, and each entry in a column is of the same data type. Additionally, each row must be unique, typically achieved by having a primary key.

Data Modelling

Ques:- What is the difference between hashed file stage and sequential file stage in relates to DataStage Server?

Asked In :- AnAr Solutions, Energytech Global, Tredence Analytics Solutions, APPS Associates Pvt., Smart Cube India, Promantia Consulting LLP, Cohere, EPFO, Estuate, Quantile,

Right Answer:
The hashed file stage in DataStage Server allows for fast access and retrieval of data using a hash key, enabling efficient lookups and joins. In contrast, the sequential file stage reads and writes data in a linear fashion, processing records one after another without indexing, making it slower for random access operations.

Data Modelling Database Architect/ Designer

Ques:- Waht is second normal form

Asked In :- sciative, TriSys, EPFO, iOPEX, Quantile, Prodapt SA, Icon Resources, Mystifly, PromptCloud, Infometry,

Right Answer:
Second Normal Form (2NF) is a database normalization level where a table is in First Normal Form (1NF) and all non-key attributes are fully functionally dependent on the entire primary key, meaning there are no partial dependencies on a composite primary key.

Database Architect/ Designer PeopleSoft

Ques:- What category of commands can be executed in data mover

Asked In :- Ribbon Communications Inc, semarchy,

Data Structure Database Architect/ Designer

Ques:- Given a binary tree, and 3 nodes x,y,z write a function which returns true if y lies in the path between x and z and false otherwise.

Asked In :- Skillate, Bounteous, micron technology, highjump, semarchy,

Database Architect/ Designer SAP

Ques:- What is use of shipping point in the sales order item category shipping tab. if remove the shipping point what will be happened?

Asked In :- primetals technologies, semarchy,

Database Administrator (dba) Informatica

Ques:- How do you configure mapping in informatica

Asked In :- Finacle Technologies, habile technologies, semarchy,

Data Structure Database Architect/ Designer

Ques:- Write code for 2 functions i) writing the contents of a n-ary tree to a file ii) forming the n-ary tree again given the file u just created in the previous step

Asked In :- PlanSource Holdings, fenergo, trifacta, signifyd, semarchy,

sql

Ques:- Why to use Stored Procedures in Sql Server?

Asked In :- Indocosmo Systems, Principal Global Services, McKinsey Knowledge Center, e2e, Kyro, Unified Infotech, Metrics4 Analytics, Travelodge Hotels (UK), Pickrr Technologies, COGNISOFT TECHNOLOGIES,

Database Architect/ Designer SQL Server

Ques:- Difference – Primary Key and Aggregate Key

Asked In :- Netaxis IT Solutions (p), FUTURISM TECHNOLOGIES PVT, Triassic Solutions, First Zen, Invimatic, Eternus Solutions, Twilio, Searce, Sweans Technologies, Savantis,

Right Answer:
A Primary Key is a unique identifier for a record in a table, ensuring that no two rows have the same value in that column. An Aggregate Key, on the other hand, is a combination of two or more columns used together to uniquely identify a record, often used in scenarios where a single column is not sufficient to ensure uniqueness.

ASP.NET C HTML JAVA sql Technical Support Engineer XML

Ques:- What is deadlock?

Asked In :- Addweb solutions, Sun Technology Integrators, Lucid Imaging, FOX SOLUTIONS, Anand Rathi IT, AgilePoint Software India, Fulcrum Logic (I), Plural Technology Inc, Cloud Assert, Caliber Technologies,

Right Answer:
A deadlock is a situation in computer systems where two or more processes are unable to proceed because each is waiting for the other to release a resource, resulting in a standstill.

sql

Ques:- What would you do if you misunderstood an important communication on the job?

Asked In :- Indocosmo Systems, Digital Nirvana Information Systems (I), Waffor, EY GDS, de facto infotech, Wondersoft, InSync Analytics, PromptCloud, 8KMiles Software Services, iauro systems,

Database Architect/ Designer SQL Server

Ques:- What is a VIEW? How to get script for a view?

Asked In :- Sumedha Softech, Qualminds Technologies, FIN Infocom, Softeon India, Shadowfax Technologies, KSB Tech, Polus Software, Thryve Digital, Busy Infotech, RWE Supply & Trading,

Right Answer:
A VIEW is a virtual table in SQL that is based on the result of a SELECT query. It does not store data itself but provides a way to present data from one or more tables in a specific format.

To get the script for a view in SQL Server, you can use the following command:

```sql
EXEC sp_helptext 'view_name';
```

Replace `view_name` with the name of the view you want to script.

Semarchy is a leading provider of master data management (MDM) and data governance solutions. Founded in 2011, the company has quickly established itself as a key player in the field, helping organizations across industries manage and leverage their data more effectively. One of Semarchy's flagship products is the Intelligent Data Hub™ (IDH), a versatile platform designed to empower businesses to master their data and drive better decision-making. The IDH offers a unified approach to managing, governing, and sharing data across the enterprise, enabling organizations to break down silos, improve data quality, and streamline processes. Semarchy's solutions are known for their flexibility, scalability, and ease of use. Whether an organization is looking to consolidate customer data, standardize product information, or ensure compliance with regulatory requirements, Semarchy provides the tools and expertise needed to succeed. In addition to its cutting-edge technology, Semarchy is also recognized for its commitment to customer success. The company works closely with clients to understand their unique challenges and requirements, delivering tailored solutions that meet their specific needs. Semarchy's team of experts provides ongoing support and guidance to help organizations maximize the value of their data investments. With a strong track record of innovation and customer satisfaction, Semarchy continues to be a trusted partner for organizations seeking to unlock the full potential of their data assets.

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