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NEW QUESTION: 1
Which of the following layer in in an enterprise data flow architecture is directly death with by end user with information?
A. Desktop access layer
B. Data access layer
C. Data mart layer
D. Data preparation layer
Answer: A
Explanation:
Explanation/Reference:
Presentation/desktop access 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.
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:
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 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.
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.
The following reference(s) were/was used to create this question:
CISA review manual 2014 Page number 188
NEW QUESTION: 2
You want to capture WebLogic internal events correlated with JVM events for viewing offline. What three actions must you take to enable this within WebLogic?
A. Take a dump from the default recording or create a new recording for the time period you want to capture.
B. Configure the WebLogic Diagnostic Framework bridge to send events to the JRockit Flight Recording.
C. Run WebLogic in a JRockit JVM and ensure the Flight Recorder is enabled.
D. Configure the WebLogic Diagnostic Framework Event Volume to Low, Medium, or High depending on the type of events you want to capture.
Answer: A,C,D
Explanation:
A: You can enable JFR at runtime to take JRA recordings from the JRockit Management Console. You also have the option of turning off the JFR and recordings at the JRockit JVM level from the java command line using:
$ java -XX:-FlightRecorder
B:
*In most environments, there is little performance impact when the Diagnostic Volume is set to Low and the most performance impact if Diagnostic Volume is set to High. The volume of diagnostic data produced by WebLogic Server needs to be weighed against potential performance loss.
*WLDF provides the Diagnostic Volume attribute to set the amount of code coverage that is enabled and the amount of data provided in the events that are generated for the covered code The following code example sets the volume to Medium:
connect()
edit()
startEdit()
cd("Servers/myserver")
cd("ServerDiagnosticConfig")
cd("myserver")
cmo.setWLDFDiagnosticVolume("Medium")
save()
activate()
D: Integrated with the WebLogic Diagnostic Image and Watch and Notification system
Enables capture based on system state, event - capture during event; no need to replicate
Watch for stuck thread count, heap size increase, available memory, etc.
Set up notifications: capture WLDF image
Diagnostic image capture spurs JFR file generation; JFR file included in diagnostic image
Includes full JFR data from all event generators
Note:
* WebLogic Diagnostic Framework (WLDF) provides specific integration points with JRockit Mission Control Flight Recorder. WebLogic Server events are propagated to the Flight Recorder for inclusion in a common data set for runtime or post-incident analysis.
Reference: Oracle Fusion Middleware Performance and Tuning for Oracle WebLogic Server, Tuning WebLogic Diagnostic Framework and JRockit Flight Recorder Integration
Reference: JRockit Flight Recorder & WebLogic Diagnostic FrameWork (WLDF) Integration
NEW QUESTION: 3
Refer to the exhibit.
The image shows a packet capture that was taken at the CLI of the Cisco CMX server. It shows UDP traffic from the WLC coming into the server. What does the capture prove?
A. The Cisco CMX server receives Angle-of-Arrival data from the WLC.
B. The Cisco CMX server receives SNMP traffic from the WLC.
C. The Cisco CMX server receives NMSP traffic from the WLC.
D. The Cisco CMX server receives NetFlow data from the WLC.
Answer: A
Explanation:
https://www.cisco.com/c/en/us/support/docs/wireless/connected-mobile-experiences/200907-configuring-and-troubleshooting-hyperloc.html
NEW QUESTION: 4
ネットワーク管理者は、現在のリリースのいくつかの新機能を評価するためにインターネットサーバーを更新しました。アップデートの1週間後、インターネットサーバーベンダーは、最新のリリースで新しい脆弱性が導入された可能性があり、パッチが機能していることを警告します。このリスクを最善に移行するために、ネットワーク管理者は次のうちどれを実行する必要がありますか？
A. インターネットサーバーでホストベースのファイアウォールを有効にします。
B. WAFを利用して、悪意のある活動をインターネットサーバーに制限します。
C. サーバーをダウングレードし、新機能のテストを延期します。
D. パッチがリリースされるまで、HIPSを有効にしてサーバーを保護します。
Answer: C
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