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NEW QUESTION: 1
You create a SQL Server 2008 Reporting Services (SSRS) report.
The report contains a table that displays a list of products. The list of products includes the three fields named ProductName, ProductCategory, and ProductPrice. The table contains a textbox named ProductCategory that displays the ProductCategory field.
The dataset is sorted by ProductCategory.
You need to ensure that the report header displays the ProductCategory of the first product listed on each page of the report.
Which code segment should you use in the report header?
A. =First (Fields(ProductCategory.Value )
B. =First( ReportItems ("ProductCategory ").Value)
C. =Fields!ProductCategory.Value
D. =ReportItems (" ProductCategory ") .Value
Answer: D
Explanation:
Page headers and footers can contain static content, but they are more commonly used to display
varying content like page numbers or information about the contents of a page. To display variable data that is different on each page, you must use an expression. If there is only one dataset defined in the report, you can add simple expressions such as [FieldName] to a page header or footer. Drag the field from the Report Data pane dataset field collection or the Built-in Fields collection to the page header or page footer. A text box with the appropriate expression is automatically added for you. To calculate sums or other aggregates for values on the page, you can use aggregate expressions
226 that specify ReportItems or the name of a dataset. The ReportItems collection is the collection oftext boxes on each page after report rendering occurs. The dataset name must exist in the report definition.

NEW QUESTION: 2
You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box1: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 2: Broad entity extraction
Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Box 3: Entity Recognition
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics

NEW QUESTION: 3
Refer to the exhibit.

Which two statements about router R1 are true? (Choose two )
A. The router is learning external OSPF and EIGRP routes
B. The router has two EIGRP neighbors and one OSPF neighbor
C. At least three IGP routing protocols are running on the router
D. At least two IGP routing protocols are running on the router
E. The router has an QSPF Area Q adiacencv with the device at 10.82.4.42
Answer: C,D

NEW QUESTION: 4
展示を参照してください。

ISP 1およびISP 2は直接インターネットに接続します。お客様は両方のISPリンクを追跡して冗長性を実現しており、ルータコンソールでCisco IOS IP SLA追跡出力を確認できません。 IP SLA構成から欠落しているコマンドはどれですか？
A. 開始時間00:00
B. 開始時間0
C. すぐに開始時間
D. 今すぐ開始時間
Answer: D