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NEW QUESTION: 1
You have a Power BI report.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Yes
If you'd like to see the data that Power BI uses to create a visualization, you can display that data in Power BI. You can also export that data to Excel as an .xlsx or .csv file. The option to export the data requires a Pro or Premium license and edit permissions to the dataset and report.
Note: Export data from a Power BI dashboard
* Select the ellipsis in the upper-right corner of the visualization.
* Choose the Export data icon.
* Power BI exports the data to a .csv file. If you've filtered the visualization, then the app will filter the downloaded data.
* Your browser will prompt you to save the file. Once saved, open the .csv file in Excel.
Box 2: No
Underlying data: Select this option if you want to see the data in the visual and additional data from the model (see chart below for details). If your visualization has an aggregate, selecting Underlying data removes the aggregate. When you select Export, Power BI exports the data to an .xlsx file and your browser prompts you to save the file. Once saved, open the file in Excel.
Box 3: Yes
A KPI dataset needs to contain goal values for a KPI. If your dataset doesn't contain goal values, you can create them by adding an Excel sheet with goals to your data model or PBIX file.
Note: A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-export-data
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi

NEW QUESTION: 2
Cloud Service A is hosted by Virtual Server A, which is hosted by Hypervisor A that resides on Physical Server A.
Cloud Storage Device A is used to store media library data that is continuously replicated with a redundant, secondary implementation of Cloud Storage A (not shown). Access to Cloud Service A is monitored by Pay-Per-Use Monitor A.
Access to Cloud Storage Device A is monitored by Pay-Per-Use Monitor B.
Pay-Per-Use Monitors A and B capture billing-related usage data that is forwarded to a billing management system that is hosted by Physical Server B.
Cloud Service Consumer A accesses Cloud Service A and the usage data is captured by Pay-Per-Use Monitor A (1). Cloud Consumer B accesses Cloud Storage Device A via a usage and administration portal that it uses to upload media data (2). This usage is captured by Pay-Per-Use Monitor B (3). Pay-Per-Use Monitors A and B store collected usage data in the billing management system (4), which is later used by the cloud provider to bill for the usage of Cloud Service A and Cloud Storage Device A.

Each service instance of Cloud Service A requires a virtual server with 2 virtual CPUs and
4 GBs of RAM at a package price of $2.00 for each initial invocation and an additional
$0.50 for each consecutive 60 seconds of usage. Cloud Service Consumer A accesses Cloud Service A twice in one day. The two exchanges with Cloud Service A last 60 seconds and 120 seconds. For that one day, the organization that owns Cloud Service Consumer A is billed $6.50, which it determines is incorrect. After complaining to the cloud provider, it is discovered that the rapid provisioning system responsible for provisioning instances of Cloud Service A is not de-provisioning Cloud Service A when Cloud Service Consumer A indicates it has completed an exchange. Instead, Cloud Service A is de- provisioned after a 60 second timeout that occurs after Cloud Service Consumer A is completed with an exchange.
Storage space on Cloud Storage Device A can only be purchased in units of terabytes (TBs), with each TB costing $1 per day. Cloud Consumer B purchases 5 TBs of storage space on day 1 and stores 5 TBs of data on days 6 and 7. Cloud Consumer B was expecting to be billed $10.00, but is billed $35. After raising a complaint, Cloud Consumer B is informed by the cloud provider that cloud consumers are billed based on the allocation of storage space, regardless of how much storage space they actually use.
Which of the following statements describes a solution that can update the cloud architecture to avoid these billing-related problems and discrepancies?
A. The Platform Provisioning pattern can be applied to create an intelligent automation script capable of immediately de-provisioning cloud service instances. The Redundant Storage pattern can be applied to introduce a secondary cloud storage device for which storage space can be billed based on actual usage.
B. The Self-Provisioning pattern can be applied to enable the organization that owns Cloud Service Consumer B to configure how and to what extent Cloud Service A instances need to be provisioned. The Resource Management pattern can be applied to establish a storage system that bills cloud consumers for actual storage space usage only.
C. The Pay-as-You-Go pattern can be applied together with the Usage Monitoring pattern to establish a monitoring and billing system capable of de-provisioning Cloud Service A instances when they are no longer required. The Dynamic Data Normalization pattern can be applied to eliminate any redundant data stored by Cloud Consumer A so that the amount of required storage space is minimized.
D. None of the above.
Answer: D

NEW QUESTION: 3
For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?
A. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
B. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.
C. Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
D. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket.
Run the ETL process using data in the bucket.
Answer: A

NEW QUESTION: 4
Which WAN topology is most appropriate for a centrally located server farm with several satellite branches?
A. full mesh
B. hub and spoke
C. star
D. point-to-point
Answer: B
Explanation:
/Reference:
In a Hub-and-spoke Site-to-Site Wide Area Network (WAN) network topology, one physical site act as Hub (Example, Main Office), while other physical sites act as spokes. Spoke sites are connected to each other via Hub site. In Huband-spoke Wide Area Network (WAN) topology, the network communication between two spokes always travels through the hub.

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