About ISTQB ISTQB-CTFL Exam Questions

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NEW QUESTION: 1
Which three statements about the Cisco Unified Customer Voice Portal Post Call Survey are true? (Choose three.)
A. For reporting purposes, the Post Call Survey call has the ICM Router Key and call context from the original inbound call.
B. If you want to use the Post Call Survey feature through Unified CVP, you must configure it on the call server. Also, you can configure the Unified ICM script to toggle the use of Post Call Survey off and on.
C. This feature lets you configure a call flow that, after the caller disconnects from the agent, optionally sends the call to a dialed number configured for a Post Call Survey.
D. If you want to use the Post Call Survey feature through Unified CVP, you must configure it on the reporting server. Also, you can configure the Unified ICM script to toggle the use of Post Call Survey off and on.
E. For reporting purposes, the Post Call Survey call has the same CallGUID and call context as the original inbound call.
F. The call context for the Post Call Survey includes all contexts up to the point where the call is transferred to the agent. Context that the agent creates after the transfer is not included in the Post Call Survey context.
Answer: B,E,F

NEW QUESTION: 2
Which of the following layer of an enterprise data flow architecture is concerned with basic data communication?
A. Internet/Intranet layer
B. Data access layer
C. Data preparation layer
D. Desktop Access Layer
Answer: A
Explanation:
Explanation/Reference:
Internet/Intranet layer - This layer is concerned with basic data communication. Included here are browser based user interface and TCP/IP networking.
For CISA exam you should know below information about business intelligence:
Business intelligence(BI) is a broad field of IT encompasses the collection and analysis of information to assist decision making and assess organizational performance.
To deliver effective BI, organizations need to design and implement a data architecture. The complete data architecture consists of two components The enterprise data flow architecture (EDFA)
A logical data architecture
Various layers/components of this data flow architecture are as follows:
Presentation/desktop access layer - This is where end users directly deal with information. This layer includes familiar desktop tools such as spreadsheets, direct querying tools, reporting and analysis suits offered by vendors such as Congas and business objects, and purpose built application such as balanced source cards and digital dashboards.
Data Source Layer - Enterprise information derives from number of sources:
Operational data - Data captured and maintained by an organization's existing systems, and usually held in system-specific database or flat files.
External Data - Data provided to an organization by external sources. This could include data such as customer demographic and market share information.
Nonoperational data - Information needed by end user that is not currently maintained in a computer accessible format.
Core data warehouse -This is where all the data of interest to an organization is captured and organized to assist reporting and analysis. DWs are normally instituted as large relational databases. A property constituted DW should support three basic form of an inquiry.
Drilling up and drilling down - Using dimension of interest to the business, it should be possible to aggregate data as well as drill down. Attributes available at the more granular levels of the warehouse can also be used to refine the analysis.
Drill across - Use common attributes to access a cross section of information in the warehouse such as sum sales across all product lines by customer and group of customers according to length of association with the company.
Historical Analysis - The warehouse should support this by holding historical, time variant data. An example of historical analysis would be to report monthly store sales and then repeat the analysis using only customer who were preexisting at the start of the year in order to separate the effective new customer from the ability to generate repeat business with existing customers.
Data Mart Layer- Data mart represents subset of information from the core DW selected and organized to meet the needs of a particular business unit or business line. Data mart can be relational databases or some form on-line analytical processing (OLAP) data structure.
Data Staging and quality layer -This layer is responsible for data copying, transformation into DW format and quality control. It is particularly important that only reliable data into core DW. This layer needs to be able to deal with problems periodically thrown by operational systems such as change to account number format and reuse of old accounts and customer numbers.
Data Access Layer -This layer operates to connect the data storage and quality layer with data stores in the data source layer and, in the process, avoiding the need to know to know exactly how these data stores are organized. Technology now permits SQL access to data even if it is not stored in a relational database.
Data Preparation layer -This layer is concerned with the assembly and preparation of data for loading into data marts. The usual practice is to per-calculate the values that are loaded into OLAP data repositories to increase access speed. Data mining is concern with exploring large volume of data to determine patterns and trends of information. Data mining often identifies patterns that are counterintuitive due to number and complexity of data relationships. Data quality needs to be very high to not corrupt the result.
Metadata repository layer - Metadata are data about data. The information held in metadata layer needs to extend beyond data structure names and formats to provide detail on business purpose and context. The metadata layer should be comprehensive in scope, covering data as they flow between the various layers, including documenting transformation and validation rules.
Warehouse Management Layer -The function of this layer is the scheduling of the tasks necessary to build and maintain the DW and populate data marts. This layer is also involved in administration of security.
Application messaging layer -This layer is concerned with transporting information between the various layers. In addition to business data, this layer encompasses generation, storage and targeted communication of control messages.
Internet/Intranet layer - This layer is concerned with basic data communication. Included here are browser based user interface and TCP/IP networking.
Various analysis models used by data architects/ analysis follows:
Activity or swim-lane diagram - De-construct business processes.
Entity relationship diagram -Depict data entities and how they relate. These data analysis methods obviously play an important part in developing an enterprise data model. However, it is also crucial that knowledgeable business operative are involved in the process. This way proper understanding can be obtained of the business purpose and context of the data. This also mitigates the risk of replication of suboptimal data configuration from existing systems and database into DW.
The following were incorrect answers:
Desktop access layer or presentation layer is where end users directly deal with information. This layer includes familiar desktop tools such as spreadsheets, direct querying tools, reporting and analysis suits offered by vendors such as Congas and business objects, and purpose built application such as balanced source cards and digital dashboards.
Data preparation layer -This layer is concerned with the assembly and preparation of data for loading into data marts. The usual practice is to per-calculate the values that are loaded into OLAP data repositories to increase access speed.
Data access layer - his layer operates to connect the data storage and quality layer with data stores in the data source layer and, in the process, avoiding the need to know to know exactly how these data stores are organized. Technology now permits SQL access to data even if it is not stored in a relational database.
The following reference(s) were/was used to create this question:
CISA review manual 2014 Page number 188

NEW QUESTION: 3
Sie müssen das Problem mit der Benutzeransage beheben. Was solltest du verwenden?
A. Bot Framework Channel Inspector
B. Bot Framework Emulator
C. Azure Compute Emulator
D. Azure Application Insights
E. Bot Connector-Dienst
Answer: B
Explanation:
Explanation
Scenario: The chatbot's greeting does not show the user's name. You need to debug the chatbot locally.
Debug your bot using an integrated development environment (IDE) such as Visual Studio or Visual Studio
Code and the Bot Framework Emulator. You can use these methods to debug any bot locally.
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-debug-bot?view=azure-bot-service-4.0
Topic 4, Wide World ImportersCase Study
Background
Wide World Importers is moving all their datacenters- to Azure. The company has developed several
applications and services to support supply chain operations and would like to leverage serverless computing
where possible.
Windows Server 2016 virtual machine
This virtual machine (VM) runs BizTalk Server 2016. The VM runs the following workflows:
* Ocean Transport - This workflow gathers and validates container information including container contents
and arrival notices at various shipping pons.
* Inland Transport - This workflow gathers and validates trucking information including fuel usage, number of
stops, and routes.
The VM supports the following REST API calls:
* Container API - This API provides container information including weight, contents, and other attributes.
* Location API - This API provides location information regarding shipping ports of call and trucking stops.
* Shipping REST API - This API provides shipping information for use and display on the shippi ng website-
Shipping Data
The application uses MogoDB JSON storage database for all container and transport information
Shipping Website
The site displays containers tracking information and containers content. The site is located at
http//.wideworldimporters.com/
Proposed solution
The on-premises shipping application must be moved to Azure. The VM has been migrated to a new
Standard_Dl6s_v3 Azure VM by using Azure Site Recovery and must remain running in Azure to complete
the BizTalk component migrations. You create a Standard_D16s_v3 Azure VM to host BizTalk Server. The
Azure architecture diagram for the proposed solution is shown below:

Shipping logic app
The Shipping Logic app must meet the following requirements:
* Support the ocean transport and inland Transport workflows by using a Logic App.
* Support industry-standard protocol X12 message format for various messages including vessel content
details and arrival notices
* Secure resources to the corporate VNet and use dedicated storage resources with a fixed costing model.
* Maintain on-premises connectivity to support legacy applications and final BizTalk migrations
Shipping Function app
Implement secure function endpoints by using app-level security and include Azure Active Directory (Azure
AD)
REST APIs
The REST API's that support the solution must meet the following requirements:
* Secure resources to the corporate VNet.
* Allow deployment to a testing location within Azure while not Incurring additional costs,
* Automatically scale to double capacity during peak shipping times while not causing application downtime,
* Minimize costs when selecting an Azure payment model,
Shipping data
Data migration from on premises to azure must minimize costs and downtime
Windows server 2016 VM
The VM shows high network latency, jitter, and high CPU utilization. The VM is critical and has not been
backed up in the past. The VM must enable a quick restore from a 7-day snapshot to include m-place restore ol
disks in case of failure.
Shipping website and REST APIs
The following error message displays while you are testing the website.