K.P.R. AGROCHEM Interview Questions and Answers

Q1. What is depreciation
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Depreciation is the allocation of the cost of a tangible asset over its useful life.
• Depreciation is a non-cash expense that reduces the value of an asset over time.

• It reflects the wear and tear, obsolescence, or decrease in value of the asset.

• Common methods of calculating depreciation include straight-line, double declining balance, and units of production.

• Example: A company purchases a delivery truck for $50,000 with ...read more
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Q2. What is accrual
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Accrual refers to the recognition of revenues and expenses when they are incurred, regardless of when cash is exchanged.
• Accrual accounting matches revenues with expenses in the same accounting period, even if cash has not been exchanged.

• Accruals are used to provide a more accurate representation of a company's financial position and performance.

• Examples of accruals include accounts receivable, accounts payable, and acc
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Q1. Chemical information
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Q2. Give Any five insecticides technical Name
Ans. 
Insecticides are chemicals used to kill or control insects. Here are five technical names of commonly used insecticides.
• 1. Imidacloprid - a systemic insecticide used to control sucking insects on crops.

• 2. Permethrin - a broad-spectrum insecticide used to control a wide range of pests.

• 3. Chlorpyrifos - an organophosphate insecticide used to control insects in agriculture and public health.

• 4. Cypermethrin - a synthetic p...read more
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Q3. Give the Pesticides technical name
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Pesticides technical names vary depending on the specific pesticide. They are usually complex chemical names.
• Pesticides technical names are typically complex chemical names

• Examples of pesticides technical names include Glyphosate, Chlorpyrifos, Imidacloprid, and Malathion

• Each pesticide has a unique technical name that reflects its chemical composition and structure
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Q1. 1. Basic questions on Instrumentation 2. Selection of MOC 3. Hazardous area classification 4. Improvements in Process safety through automation 5. Size of projects and team handled 6. Resource management
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Q1. This round was with Site head. He basically asked questions related to MOC selection and HAC
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Q1. This round was with VP Manufacturing. He asked questions related to SIL classification & application, Improvements I have done in Process safety areas and IIoT projects
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Q1. Manpower management, Skill development of team, Crisis management
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Q1. What do you work in your previous company
Ans. 
I worked as a Sales Manager in charge of leading a team, developing sales strategies, and meeting sales targets.
• Led a team of sales representatives to achieve sales goals

• Developed and implemented sales strategies to increase revenue

• Analyzed market trends and competitor activities to identify opportunities

• Maintained relationships with key clients and negotiated contracts

• Prepared sales reports and presented to senior man
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Q2. Your strength and weekness and your sallery expectations
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Strengths include strong communication and negotiation skills. Weakness is sometimes being too detail-oriented. Salary expectations are competitive based on experience.
• Strengths: strong communication skills, negotiation skills

• Weakness: detail-oriented

• Salary expectations: competitive based on experience
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Q3. What about youu
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Q4. Your experience and qualification
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I have 5 years of experience in sales with a Bachelor's degree in Business Administration.
• 5 years of sales experience

• Bachelor's degree in Business Administration

• Strong track record of meeting and exceeding sales targets

• Experience in developing and maintaining client relationships

• Proficient in sales techniques and strategies
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Q1. About yourself & work
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Q2. Work experience , previous company work role etc
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General knowledge test about field

Q1. How will you contribute to organisation
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Q1. Explain logistic regression
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Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.

• It estimates the probability of the outcome using a logistic function.

• The model calculates the odds of the outcome and transforms them into probabilities.

• It uses a logit link ...read more
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