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Sears Roebuck & Co. Interview Questions and Answers
Sears Roebuck & Co. Interview Experiences
3 interviews found
Anonymous
(2 Questions)
- Q1. What is CICS and how to do newc
- Ans.
CICS is a transaction processing system used for online transaction processing in mainframe computers.
CICS stands for Customer Information Control System.
It provides services for running applications in an online, real-time environment.
To create a new CICS program, you can use the 'newc' command in the CICS region.
For example, to create a new CICS program named 'MYPROG', you can use the command 'newc MYPROG'.
- Q2. What are different macros used in CICS
- Ans.
Some common macros used in CICS include EXEC CICS, DFHCOMMAREA, DFHRESP, and DFHVALUE.
EXEC CICS is used to issue CICS commands within a COBOL program
DFHCOMMAREA is used to pass data between programs
DFHRESP is used to handle program responses
DFHVALUE is used to define symbolic values
Project Lead Interview Questions asked at other Companies
1 hr ds algo Related to Arrays and trees.
(1 Question)
- Q1. Again ds algo related to graphs and arrays.
(2 Questions)
- Q1. Tell about u self and why this company
- Q2. Compensation-related and commute related.
Interview Preparation Tips
Data Scientist Interview Questions asked at other Companies
Selected
I applied via Referral and was interviewed before Dec 2022. There were 2 interview rounds.
I was given an assignment for data analysis before the 1st interview round and the 1st interview revolved around this only.
(1 Question)
- Q1. Questions around various ML algorithms - in depth discussion, hands on based on regex and some logical questions as well.
Interview Preparation Tips
Data Scientist Interview Questions asked at other Companies
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I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Explain dynamic programming with memoization
(2 Questions)
- Q1. Where are you from, and why are you joining the company
- Q2. Why are you joining the company
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. Basic ML
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Nothing much technical
Interview Preparation Tips
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
Interview Questionnaire
1 Question
- Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.
I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Machine learning concepts[Regression and classification] ,Python and Sql Basics
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
(3 Questions)
- Q1. Question on based resume points
- Q2. 2 to 3 codes
- Q3. Project explanation
(3 Questions)
- Q1. Deep question and answering to know candidature behavior based on Resume
- Q2. Coding in python
- Q3. Project explanation
(1 Question)
- Q1. Scenario round, knowing how you think at particular situation
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed before Feb 2023. There was 1 interview round.
(3 Questions)
- Q1. What is hypothesis testing
- Ans.
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
It involves formulating a hypothesis about a population parameter, collecting data, and using statistical tests to determine if the data supports or rejects the hypothesis.
There are two types of hypotheses: null hypothesis (H0) and alternative hypothesis (H1).
Common statistical tests for hypothesis testing include...
- Q2. What is null hypothesis
- Ans.
Null hypothesis is a statement that there is no significant difference or relationship between variables being studied.
Null hypothesis is typically denoted as H0 in statistical hypothesis testing.
It is the default assumption that there is no effect or relationship.
The alternative hypothesis (Ha) is the opposite of the null hypothesis.
For example, in a study testing a new drug, the null hypothesis would be that the drug...
- Q3. What is supervised and unsupervised learning
- Ans.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
Supervised learning requires labeled data for training
Unsupervised learning does not require labeled data
Examples of supervised learning include classification and regression
Examples of unsupervised learning include clustering and dimensionality reduction
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