Pearson MB-820 New Attempt

In a single-tenant deployment architecture of Business Central on-premises, the following characteristics describe how the data is stored and how the Business Central Server is configured:

The application and the business data are stored in the same database (B): In a single-tenant architecture, each tenant (which typically corresponds to a single customer) has its own dedicated database. This database contains both the application objects (such as pages, reports, codeunits, etc.) and the business data (such as customer, vendor, and transaction records). This setup ensures that each tenant's data is isolated and can be managed independently.

The application and business data are stored in separate databases (D): While (B) is a characteristic of a single-tenant deployment, it's important to clarify that in some configurations, the application objects can be stored in a separate database from the business data. This approach can be used for easier maintenance and upgrades of the application code without affecting the business data. However, each tenant still has its own set of databases, maintaining the single-tenancy model.

The other options provided do not accurately describe a single-tenant architecture:

Each customer has their own Business Central Server (A): This statement might be misleading. In a single-tenant deployment, while each customer has their own database, they do not necessarily have their own Business Central Server instance. Multiple databases (tenants) can be hosted on a single server instance, although they are not shared across customers.

Multiple customers share a single Business Central Server (C) and Multiple customers share multiple Business Central Server instances (E): These options describe a multi-tenant architecture rather than a single-tenant one. In a multi-tenant setup, multiple customers (tenants) can share the same server instance and even the same application database, with data isolation ensured at the application level.

procedure BlockNonSItems()

var

Item: Record Item;

begin

// Reset the Item record to clear any previous filters.

Item.Reset();

// Set the filter to exclude items that start with 'S'.

Item.SetFilter("No.", '<>%1*', 'S');

// Find each item that matches the filter.

if Item.FindSet() then

repeat

// Set the Blocked field to true to block the item.

Item.Blocked := true;

// Save the changes to the Item record.

Item.Modify();

until Item.Next() = 0; // Continue until no more items are found.

end;

 Subtype: Install

 Trigger: OnInstallAppPerCompany

You are developing a codeunit that should only run during the installation of an extension package.

Options:

Subtype: The correct subtype is Install, as it indicates that the codeunit runs only when the extension is being installed.

Trigger: The correct trigger for running during installation is OnInstallAppPerCompany, which handles code execution when the app is installed for a specific company.

Include all records from TableA Header even if no matching record value exists in the linked TableA Line: LeftOuterJoin

Include only matched records from TableB Header: InnerJoin

In SQL and similarly in Business Central when defining table relationships in query objects, the type of join determines how records from one table are combined with records from another table. Here's what each join type means in the context of the company's requirements:

LeftOuterJoin:

A LeftOuterJoin includes all records from the 'left' table (TableA Header) and the matched records from the 'right' table (TableA Line). If there is no match, the result is NULL on the side of the 'right' table. This is why it fits the requirement to include all records from TableA Header even if there is no matching record in TableA Line.

InnerJoin:

An InnerJoin includes records when there is at least one match in both tables. So, it will only include records from TableB Header where a corresponding match is found in TableB Line. If there is no match, the records from TableB Header will not appear in the result set. This aligns with the requirement to include only matched records from TableB Header.

By using these join types, the company can ensure that their dataset includes the appropriate records from the document tables and document history tables according to their specified requirements.