SQL Queries Code Interviews QA 50 plus

By
Image
Here are SQL-focused interview questions with only the relevant SQL code: 1. Find the second highest salary from an Employee table. SELECT MAX(Salary) AS SecondHighestSalary FROM Employees WHERE Salary < (SELECT MAX(Salary) FROM Employees); Using ROW_NUMBER(): WITH RankedSalaries AS (   SELECT Salary, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS Rank   FROM Employees ) SELECT Salary AS SecondHighestSalary FROM RankedSalaries WHERE Rank = 2; --- 2. Write a query to calculate a running total of sales. SELECT   OrderID,   OrderDate,   Amount,   SUM(Amount) OVER (ORDER BY OrderDate) AS RunningTotal FROM Orders; --- 3. Retrieve customers who placed no orders using a LEFT JOIN. SELECT c.CustomerID, c.CustomerName FROM Customers c LEFT JOIN Orders o ON c.CustomerID = o.CustomerID WHERE o.OrderID IS NULL; --- 4. Write a query to find the top 3 highest salaries. SELECT DISTINCT Salary FROM Employees ORDER BY Salary DESC LIMIT 3; Using DENSE_RANK(): WIT...
Post a Comment

Insurance team's work during natural disaster events Role play scenario how Insurance team's work

By


Scenario: Underwriting Natural Disaster Risk in Hurricane-Prone Regions


Key Players:

1. Sophia (Underwriting Manager): Oversees policy design and premium determination.


2. Ethan (Actuarial Analyst): Specializes in catastrophe modeling and predictive analytics.


3. Amara (Risk Assessment Lead): Focuses on environmental risk and regional vulnerability analysis.


4. Liam (Claims Analyst): Provides historical claims data and disaster impact insights.


5. Maya (GenAI Specialist): Leverages AI-driven tools for data processing and scenario simulations.




---

Step 1: Initial Meeting

Sophia:
"Team, we’re planning to underwrite policies in a hurricane-prone region. I need a detailed analysis of potential risks and pricing recommendations."

Ethan:
"I’ll gather data on past hurricanes and run catastrophe models to estimate potential losses."

Amara:
"I’ll analyze the geographical and environmental factors contributing to the region's risk."

Maya:
"I’ll set up AI-driven tools to process satellite imagery, weather data, and social media feeds to highlight risk hotspots."

Liam:
"I’ll provide a breakdown of historical claims data, focusing on damage patterns and recovery costs."



---

Step 2: Data Analysis

Ethan:
"Using CAT models, I estimate a 25% probability of Category 4 hurricanes in this area over the next decade. Loss projections for such events are $500M on average."

Amara:
"My analysis shows that properties within 5 miles of the coastline are 70% more likely to sustain severe damage due to wind and flooding."

Maya:
"AI simulations confirm Ethan’s findings and identify critical risk zones. I also found that social media activity during past hurricanes highlights high flood risks in poorly drained areas."

Liam:
"In the past three hurricanes, 80% of claims involved roof damage and basement flooding. Average claim payouts were $25,000 per property."

Sophia:
"This is excellent data. Let’s use these findings to structure our policies."



---

Step 3: Policy Design

Sophia:
"Based on Ethan’s loss projections, we’ll price premiums at $1,500 annually for low-risk zones and $3,000 for high-risk zones."

Ethan:
"That aligns with our predictive models. I recommend a 10% surcharge for properties within the highest-risk zones."

Amara:
"We should also consider exclusions for properties with outdated building codes."

Maya:
"I can use AI tools to flag properties in high-risk zones that don’t meet current safety standards."

Liam:
"We might also consider including higher deductibles for hurricane-related claims to reduce risk exposure."



---

Step 4: Real-time Collaboration During a Hurricane

Sophia:
"Hurricane Isabel is approaching. How are we handling it?"

Maya:
"Our AI tools show a 90% probability of high-impact flooding in Zone C. We’ve alerted the claims team to prepare for increased activity there."

Amara:
"Emergency data confirms that Zone C has inadequate drainage. We need to issue warnings to policyholders now."

Sophia:
"I’ll authorize temporary policy adjustments for customers in Zone C, such as deferred premium payments."



---

Step 5: Post-Event Debrief

Sophia:
"What are the key takeaways from Hurricane Isabel?"

Ethan:
"Actual losses were 10% higher than predicted, indicating that our model needs updating with this new data."

Amara:
"The properties that sustained the most damage were in areas flagged by our AI tools as high-risk."

Maya:
"AI simulations were accurate, but we need better integration of live weather data for faster predictions."

Liam:
"Claims are pouring in for roof and flood damage. We should consider adding mandatory flood insurance in high-risk zones."

Sophia:
"Great work, team. Let’s refine our models and policy structures for the next season."



---

Conclusion:

This role-play showcases the collaboration between underwriting, actuarial, risk, and AI specialists, resulting in data-driven, actionable strategies to handle natural disaster risks effectively. 

Comments

Post a Comment

Share this to your friends

Popular posts from this blog

"How to maintain or retain tabs in same tab after button click events or postback?" using JQuery in ASP.NET C#

By
Image
In this post I'll share an details about " How to maintain or retain tabs in same tab after button click events or postback? " Step 1: you need to download Jquery and JQueryUI Javascript libraries from this site http://jqueryui.com/ Step 2: As usually you can create ASP.NET website from Visual Studio IDE and add Jquery and JqueryUI plugins in the header section of aspx page. Step 3: Add HiddenField control inside aspx page which is very useful to retain tab in same page Step 4: Use the HiddenField ID in Jquery code to indicate that CurrentTab Index Step 5: In code Behind, using Enumerations concept give the tab index values as user defined variable  Step 6: Use the Enum values in every Button click events on different tabs to check that tab could be retained in the same tab Further, Here I'll give the code details and snap shot pictures, 1. Default.aspx: Design Page First Second Third ...
Read more

Login and Registration forms in C# windows application with Back end Microsoft SQL Server for data access

By
Image
In this article, I'm gonna share about how to make login and register form with MS SQL database; 1. Flow Chart Logic 2. Normal Features 3. Form Designs Login Form Design Sign in Form Design Password Retrieve Form 4. Database Design and SQL queries and Stored Procedure Create new Database as "schooldata" create table registerdata (  ID int identity,  Username nvarchar(100),  Password nvarchar(100),  Fullname  nvarchar(100),  MobileNO nvarchar(100),  EmailID nvarchar(100)  ) select * from registerdata create procedure regis (  @Username as nvarchar(100),  @Password as nvarchar(100),  @Fullname as nvarchar(100),  @MobileNO as nvarchar(100),  @EmailID as nvarchar(100)  ) as begin insert into registerdata (Username, Password, Fullname, MobileNO,EmailID) values (@Username, @Password, @Fullname, @MobileNO, @EmailID) ...
Read more