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Vendor: | Microsoft |
---|---|
Exam Code: | MB-820 |
Exam Name: | Microsoft Dynamics 365 Business Central Developer |
Exam Questions: | 113 |
Last Updated: | April 14, 2025 |
Related Certifications: | Microsoft Dynamics 365, Dynamics 365 Business Central Developer Associate |
Exam Tags: | Intermediate Level Dynamics 365 Business AnalystsDynamics 365 Solution Architects |
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You need to determine If you have unwanted incoming web service calls in your tenant during the last seven days.
Which two KQL queries should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A.
B.
C.
D.
E.
The task is to identify unwanted incoming web service calls during the last seven days. To do this, we need to look at KQL (Kusto Query Language) queries that would filter out web service calls based on the timestamp (to ensure the calls are within the last seven days) and by certain characteristics that would indicate they are unwanted, such as the wrong type of protocol (SOAP in this case, as Contoso Ltd. plans to dismiss using it).
Looking at the options:
Option A: This query selects all traces where the timestamp is within the last 7 days and where the custom dimension has a value of 'RT0008', and where the category is either 'ODataV4', 'ODataV3', or 'Api'. This query would show all API calls except SOAP, so it does not directly answer the question about unwanted calls.
Option B: This query filters for traces with a timestamp within the last 7 days, where 'RT0008' is present, and specifically looks for the category 'SOAP'. This query is correct because it directly targets SOAP calls, which are the unwanted calls according to Contoso Ltd.'s plans.
Option C: Similar to option B, this query filters for traces within the last 7 days and looks for 'RT0008' but uses the equality operator for the category 'SOAP'. This would also correctly return the unwanted SOAP calls.
Option D: This query also filters for traces within the last 7 days, but it excludes the 'ODataV4' category, which doesn't necessarily target the unwanted SOAP calls.
Option E: This query selects traces where the timestamp is within the last 7 days and the custom dimension has 'RT0008'. However, it filters out categories 'ODataV4' and 'Api', which does not directly help in identifying the unwanted SOAP calls.
Therefore, the queries that should be used to determine if there are unwanted incoming web service calls (SOAP calls) in the tenant during the last seven days are Options B and C. These queries are specific to identifying SOAP protocol usage, which is what Contoso Ltd. considers unwanted.
You need to improve performance when ticketAPI is used to analyze the POS data. What should you do?
Read Scale-Out:
Read scale-out is a feature in Business Central that allows you to improve performance by distributing read-only queries (such as the ones from the ticketAPI) across multiple read replicas in the cloud database. This reduces the load on the primary database and helps improve the response time for read-intensive operations, like analyzing POS data through the ticketAPI.
Data Access Intent - ReadOnly:
When enabling read scale-out, you can configure the DataAccessIntent property of APIs to be ReadOnly. This directs the system to use read replicas to handle read-only queries, which enhances performance by offloading such queries from the primary database.
Why Not Other Options?
Option A (ODataReadonlyGetEnabled): This parameter is unrelated to read scale-out and primarily affects OData services behavior, not API performance tuning.
Option B (AccessByPermission): Setting the permission to Read does not directly affect the performance. It only controls access based on user permissions.
Option D (DataAccessIntent ReadOnly): While setting this property to ReadOnly helps in read-only operations, enabling read scale-out (option C) ensures the underlying infrastructure is optimized to handle such read operations, which is the fundamental action required.
Reference Documentation:
Read Scale-Out in Business Central
You need to define the tables used for the non-conformity entity.
What should you use?
Table Structure in Business Central: When creating entities such as 'non-conformity' entities in Business Central, you use document tables to represent entities that have a header and line structure. In this case, the non-conformity entity has:
A header with common information (Non-conformity Number, Date, Vendor No., etc.).
One or more lines representing the detailed information for each non-conforming item.
Document Table Usage:
Document Table: A document table is the correct table type for scenarios where you have a header (with general information like vendor details) and lines (with detailed, item-specific information).
Document tables are typically used for entities such as Sales Orders, Purchase Orders, or any other transactional data where you have both header and line information.
Supplemental Table (Option C):
Supplemental tables are usually used to add supplementary information to existing data in Business Central. In this case, we need to store detailed line information, which is a core part of the entity rather than supplementary data, so a supplemental table would not be appropriate here.
Document History Table (Option A):
Document history tables are used to track changes and historical data for entities but are not suitable for the main introduction of the entity and its lines. This option is also not appropriate.
Reference Documentation:
Introduction to Business Central Tables
Document Tables in Business Central
You need to access the RoomsAPI API from the canvas app.
What should you do?
API Publishing for Extensions:
In Business Central, when creating custom APIs like RoomsAPI, it is important to ensure that they are automatically published during the installation or upgrade of the extension.
To achieve this, you can include a codeunit of type Install in the extension that explicitly publishes the custom API (RoomsAPI) as a web service. This ensures that it is available for use immediately after the extension is deployed without requiring manual intervention.
Codeunit Type:
A codeunit of type Install runs when the extension is installed or upgraded. This type of codeunit can be used to perform setup tasks such as publishing web services or APIs like RoomsAPI.
Why Not Other Options?
Option A (default API configuration): This would not automatically publish the RoomsAPI. Default APIs do not cover custom APIs.
Option B (enable APIs for the environment): Enabling APIs in Business Central allows the standard APIs to be used, but custom APIs still need to be manually published.
Option C (publish via Web Services page): This would work but requires manual intervention to publish RoomsAPI, which does not fulfill the requirement of automatic publishing during installation.
Reference Documentation:
Codeunit Types in Business Central
You are customizing Business Central by using Visual Studio Code. You create a project that will extend Business Central. The AL extension contains JSON files, which are automatically generated and are used to store configuration data
For testing purposes, you plan to add the following changes to the files:
* Specify that page 21 must be opened after publishing.
* Enable debugging
* Disable the capability to download the source code
You need to add the configurations to the JSON files.
Which two configurations should you add? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
You are customizing Business Central using Visual Studio Code and JSON files for configuration.
You plan to:
Open page 21 after publishing.
Enable debugging.
Disable the capability to download the source code.
Which configurations should you add?
The options involve two primary JSON files: launch.json and app.json, and configuration tags like startupObjectId and resourceExposurePolicy.
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