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NEW QUESTION # 82
You need to parse the API JSON response and retrieve each order no. in the response body.
How should you complete the code segment? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Code Segment Analysis:
* The AL code is trying to read JSON data from a response and process it to extract subcontracting order numbers. It uses JsonToken, JsonObject, and JsonArray to work with the JSON data.
* JToken.ReadFrom(Data): This line reads the incoming JSON data and converts it into a token. It processes the full JSON body so you can start working with it.
* JToken.SelectToken("results"): This line selects the part of the JSON containing the results array.
The key "results" is where the JSON response data is expected to be found.
* JsonArray: Once the results are extracted, they are stored as an array, and each element in the array (which is expected to contain subcontracting order numbers) is processed.
* SubcontractingOrderNo: The extracted order_no from the JSON is stored in this variable.
Breakdown of Steps:
* JToken.ReadFrom(Data): This step reads the entire JSON response.
* JToken.SelectToken("results"): This step selects the results array from the JSON response.
* JArray.AsArray(): This step converts the selected results token into a JSON array that can be iterated over.
* GetValueAsText(JToken, 'order_no'): This step retrieves the order_no from each element in the array.
Correct Code Completion:
* JToken.ReadFrom(Data): This is the correct method to read the incoming JSON response, as it will convert the string into a JsonToken that can be further processed.
* JToken.SelectToken("results"): This is the correct method to extract the results array from the token.
This method looks for the key "results" in the JSON and retrieves the relevant array.
Final Code Segment:
al
Copy code
procedure ReadJsonData(Data: text)
var
JToken: JsonToken;
JObject: JsonObject;
JArray: JsonArray;
SubcontractingOrderNo: Code[20];
begin
if Data = '' then
exit;
JToken := JToken.ReadFrom(Data); // Step 1: Read the JSON response data.
JToken := JToken.SelectToken('results'); // Step 2: Select the "results" array.
JArray := JToken.AsArray(); // Convert the token into a JSON array.
foreach JToken in JArray do begin
SubcontractingOrderNo := GetValueAsText(JToken, 'order_no'); // Retrieve the order number.
end;
end;
* JToken.ReadFrom(Data): This reads the raw JSON data string and converts it into a JSON token that can be processed.
* JToken.SelectToken("results"): This extracts the results array from the JSON data.
* JArray.AsArray(): Converts the token into an array so we can iterate over it.
* GetValueAsText(JToken, 'order_no'): Extracts the order_no value from each item in the array.
NEW QUESTION # 83
Hotspot Question
A company uses Azure Application Insights for Business Central online in its production environment.
A user observes that some job queues go into the failed state and require manual intervention.
You need to analyze job queue lifecycle telemetry.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 84
You need to write an Upgrade codeunit and use the DataTransfer object to handle the data upgrade.
Which solution should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Upgrade codeunit trigger: OnValidateUpgradePerDatabase
* Since the question specifies that you are handling data upgrades, and you need to use validation before upgrading at the database level, the correct choice is OnValidateUpgradePerDatabase. This method ensures that the upgrade process is validated before applying to the entire database, making it more efficient when data affects multiple companies or structures.
DataTransfer method to use: CopyRows
* CopyRows is the appropriate method when you are handling large data transfers between tables, especially in an upgrade scenario where you are migrating or transferring data from one table to another. It copies entire rows of data and is optimal for bulk data operations during upgrades.
NEW QUESTION # 85
A codeunit contains business logic that must read and modify records in a table that the calling user does not have permission to access. The logic itself is safe and validated.
What should you configure?
Answer: C
Explanation:
The Permissions property grants additional permissions to the objects that are accessed while the codeunit runs, which allows controlled elevation for specific logic. Access controls visibility of the object to other code, and Subtype defines the special role of the codeunit, such as Install, Upgrade, or Test.
NEW QUESTION # 86
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.
Answer: B,D
Explanation:
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.
NEW QUESTION # 87
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