View the tbClient table in the Database and then define a field validation rule for the Gender field in the tbClient table.

View the tbClient table in the Database and then define a field validation rule for the Gender field in the tbClient table. According to the solution, the field values for Gender should be Male or Female (in that order). Also, the message should be shown when entering an invalid Gender Value. Give the table a name when asked about data integrity rule: Switch to Datasheet View and test the field validation rule for the Gender field, making sure any tested field values are the same as they were before your test. (Hint: You can confirm this by retyping the correct value and pressing the Esc key.) Close the tab. Create a crosstab query based on the tblEmployee table with the following options: Use Unique Employee field values for the headings in the Title field as the column headings. Use the sum of MonthlySalary field values as the summarized value. Include sums. Save the query using qryMonthlySalaryByTitle as the name. Run the query, then save and close it. Save and close any open objects in your database. Compact and repair your database, close it, and then exit Access. Follow the directions on the SAM website to submit your completed project.

The Correct Answer and Explanation is:

Correct Answer

Step-by-step Implementation:

1. Open the Database and Locate the Table:
   • Open the database file.
   • Open the tbClient table in Design View.
2. Set the Field Validation Rule:
   • Locate the Gender field in the tbClient table.
   • In the Field Properties pane at the bottom, set:
     • Validation Rule:
       "Male" Or "Female"
     • Validation Text:
       Please enter either Male or Female.
3. Name the Data Integrity Rule:
   • When prompted, name the rule:
     GenderValidationRule
4. Switch to Datasheet View:
   • Switch to Datasheet View.
   • Test the rule by entering an incorrect value like “M” or “Other” in the Gender field.
   • You should receive the validation message.
   • Retype the correct value (e.g. “Male”) and press Esc to cancel the test and preserve original data.
5. Create a Crosstab Query:
   • Open Query Wizard > Select Crosstab Query Wizard.
   • Choose the tblEmployee table.
   • Select Title as the field to use for column headings.
   • Select MonthlySalary as the field to summarize.
   • Choose Sum as the summary function.
   • Save the query as qryMonthlySalaryByTitle.
6. Run, Save, and Close:
   • Run the query to view results.
   • Save and close the query.
7. Finalize:
   • Save and close all open objects.
   • Use Database Tools > Compact and Repair Database.
   • Close Microsoft Access.
   • Submit the completed file on the SAM website.

Explanation

This task involves enforcing data integrity and summarizing financial data using queries in Microsoft Access. Data integrity rules ensure consistent and accurate data. In the tbClient table, the Gender field is validated to accept only “Male” or “Female”. This rule is set using the Validation Rule property in Design View. By setting the rule to "Male" Or "Female" and including a clear Validation Text, users are guided to enter valid values. When invalid data is entered, the message prevents improper entries. Naming the rule as GenderValidationRule helps track and manage validation rules across large databases.

Switching to Datasheet View allows you to test the rule in action. If an incorrect value is tested, the system prompts for correction. Retyping the original correct value and pressing Esc ensures data remains unchanged.

Next, a Crosstab Query is created using the tblEmployee table to analyze salary distribution by job title. Crosstab queries summarize data and display it in a matrix format, ideal for reporting. In this case, the Title field is used as column headings while MonthlySalary is aggregated using the Sum function. This provides a quick view of total salary per title.

The query is named qryMonthlySalaryByTitle and saved. Finally, closing all open objects and running Compact and Repair ensures optimal performance and prevents corruption. These steps reinforce good database management and reporting practices before submission on the SAM website.