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NEW QUESTION: 1
지구력 훈련에 대한 심혈관 적응에는 다음을 제외하고 모두 포함됩니까?
A. 골격근으로의 혈류 강화
B. 최대 굴절률 증가
C. 혈액량 증가 및 적혈구 수 증가
D. 심 박출량 증가
Answer: B

NEW QUESTION: 2
How should you complete the GROUP BY clause to meet the Streaming Analytics requirements?
A. GROUP BY SessionWindow(Second, 30, 60)
B. GROUP BY TumblingWindow(Second, 30)
C. GROUP BY HoppingWindow(Second, 60, 30)
D. GROUP BY SlidingWindow(Second, 30)
Answer: B
Explanation:
Scenario: You plan to use a 30-second period to calculate the average temperature reading of the sensors.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
InAnswers:
A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
Topic 1, Contoso
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Existing Environment. Current State of Development
Contoso produces a set of Bluetooth sensors that read the temperature and humidity. The sensors connect to IoT gateway devices that relay the data.
All the IoT gateway devices connect to an Azure IoT hub named iothub1.
Existing Environment. Device Twin
You plan to implement device twins by using the following JSON sample.

Existing Environment. Azure Stream Analytics
Each room will have between three to five sensors that will generate readings that are sent to a single IoT gateway device. The IoT gateway device will forward all the readings to iothub1 at intervals of between 10 and 60 seconds.
You plan to use a gateway pattern so that each IoT gateway device will have its own IoT Hub device identity.
You draft the following query, which is missing the GROUP BY clause.
SELECT
AVG(temperature),
System.TimeStamp() AS AsaTime
FROM
Iothub
You plan to use a 30-second period to calculate the average temperature reading of the sensors.
You plan to minimize latency between the condition reported by the sensors and the corresponding alert issued by the Stream Analytics job.
Existing Environment. Device Messages
The IoT gateway devices will send messages that contain the following JSON data whenever the temperature exceeds a specified threshold.

The level property will be used to route the messages to an Azure Service Bus queue endpoint named criticalep.
Existing Environment. Issues
You discover connectivity issues between the IoT gateway devices and iothub1, which cause IoT devices to lose connectivity and messages.
Requirements. Planning Changes
Contoso plans to make the following changes:
Use Stream Analytics to process and view data.
Use Azure Time Series Insights to visualize data.
Implement a system to sync device statuses and required settings.
Add extra information to messages by using message enrichment.
Create a notification system to send an alert if a condition exceeds a specified threshold.
Implement a system to identify what causes the intermittent connection issues and lost messages.
Requirements. Technical Requirements
Contoso must meet the following requirements:
Use the built-in functions of IoT Hub whenever possible.
Minimize hardware and software costs whenever possible.
Minimize administrative effort to provision devices at scale.
Implement a system to trace message flow to and from iothub1.
Minimize the amount of custom coding required to implement the planned changes.
Prevent read operations from being negatively affected when you implement additional services.

NEW QUESTION: 3
Refer to the exhibit.

An enterprise is migrating its single-area OSPF network from a Frame Relay WAN service to an MPLS L3VPN service. Frame Relay will remain in only a few sites that require increased resiliency via two different WAN connections.
Which feature could be used in the ?MPLS VPN service provider network to support the design requirement by ensuring that during normal operation, intersite traffic will only use the MPLS VPN service and not the old Frame Relay service?
A. multiple stub areas
B. sham links
C. super backbone
D. virtual links
Answer: B

NEW QUESTION: 4
What is the best view or tool to use it you need to quickly perform an ad hoc ledger query that drill down to in a web view?
A. Oracle Hyperion Smart View
B. Account Monitoring
C. Oracle Hyperion Financial Reporting Studio
D. Account Inspector
Answer: D
Explanation:
Account Inspector allows financial analysts and accountants to quickly perform ad hoc ledger queries, multi-dimensional analysis, pivoting, and drill down--all within a web page. Because it works off the same multi-dimensional balances that stores pre-aggregated balances at all levels, slicing and dicing data is extremely fast. Any changes you make to your query criteria are instantaneously refreshed to ensure you are working with the most up-to-date information to make the most informed decisions.