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NEW QUESTION: 1
You have implemented an AP at a remote office. It is a single-band AP supporting 802.11ac. Several users complain that their laptops cannot connect to the WLAN. These laptops are from multiple vendors and range in age from 2 to 4 years. The SSID and security profile settings are correct. All default settings were used on the AP with the exception of the SSID and security settings.
What is the most likely issue preventing these STAs from connecting to the AP?
A. They are 2.4 GHz-only devices
B. They are 5 GHz-only devices
C. They do not support VHI and only support OFDM
D. They do not support the basic data rates
Answer: B

NEW QUESTION: 2
成功した認証のために不明なMACアドレス/ IDのCisco ISE認証ポリシーでどのオプションを設定する必要がありますか?
A. pass
B. continue
C. drop
D. reject
Answer: B

NEW QUESTION: 3
You are developing an ASP.NET MVC application that enables you to edit and save a student object.
The application must not retrieve student objects on an HTTP POST request.
You need to implement the controller.
Which code segment should you use? (Each correct answer presents a complete solution. Choose all that apply.)

A. Option D
B. Option C
C. Option A
D. Option B
Answer: B,C

NEW QUESTION: 4
Azure Stream Analytics機能を実装しています。
各要件に対してどのウィンドウ関数を使用する必要がありますか?回答するには、回答エリアで適切なオプションを選択します。
注:それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Tumbling
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.

Box 2: Hoppping
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. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.

Box 3: Sliding
Sliding window functions, unlike Tumbling or Hopping windows, produce an output only when an event occurs. Every window will have at least one event and the window continuously moves forward by an E (epsilon). Like hopping windows, events can belong to more than one sliding window.

References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions