Trimble GIS Analyst Interview Questions and Answers

Q1. ANDROID LIFE CYCLE
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Q2. Oncreate(),onstart()
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Prepare important sums for clearing sums

Q1. How SQL DB works
Ans. 
SQL DB works by storing and managing data in a structured format using tables and relationships.
• SQL DB uses tables to store data in rows and columns.

• It allows for querying data using SQL commands like SELECT, INSERT, UPDATE, DELETE.

• Relationships between tables can be established using foreign keys.

• Indexes can be used to optimize query performance.

• ACID properties ensure data integrity and consistency.
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Q1. All about financials
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Q2. Relocating possible
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Q1. Core python,python library and data science
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Q1. Mathematics,python and sql and data science are complete
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Q1. How much experience do you have?
Ans. 
I have 5 years of experience as a Business Analyst in various industries.
• 5 years of experience as a Business Analyst

• Worked in various industries such as finance, healthcare, and technology

• Experience in data analysis, requirements gathering, and process improvement
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Q2. How much salary do you expect?
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Q1. What are upstream & downstream impacts?
Ans. 
Upstream impacts refer to effects that occur earlier in a process, while downstream impacts refer to effects that occur later.
• Upstream impacts are changes or events that happen at the beginning of a process or supply chain.

• Downstream impacts are changes or events that happen as a result of actions taken earlier in the process.

• Examples of upstream impacts include changes in raw material prices, supplier disruptions, or ...read more
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Q2. Ways in which projects can be prioritised?
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Projects can be prioritised based on strategic alignment, resource availability, ROI, and stakeholder impact.
• Consider strategic alignment with organizational goals and objectives

• Assess resource availability including budget, time, and expertise

• Evaluate potential ROI and benefits of each project

• Take into account stakeholder impact and urgency of the project

• Use prioritization frameworks like MoSCoW method or Value vs. Co
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Q3. Ways in which manual entry data can be streamlined?
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Manual entry data can be streamlined through automation, validation checks, standardization, and user training.
• Implement automation tools to reduce manual data entry tasks

• Use validation checks to ensure data accuracy and completeness

• Standardize data entry formats and fields to improve consistency

• Provide user training on efficient data entry practices
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