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NEW QUESTION: 1
Patient satisfaction and patient experience-of-care surveys are the most common quantitative measures healthcare organizations use, but they can use other important ___________ to obtain important information from patients and their families to guide improvement work. (Choose two.)
A. Listing posts
B. Focus group research
C. Qualitative measures
D. Patient satisfaction surveys
Answer: A,C
NEW QUESTION: 2
pingコマンドとtracerouteコマンドを左側から対応する目的の右側にドラッグします。
Answer:
Explanation:
NEW QUESTION: 3
If Organization A trusts Organization B and Organization B trusts Organization C, then Organization A trusts Organization C.
Which of the following PKI concepts is this describing?
A. Domain level trust
B. Certificate authority trust
C. Transitive trust
D. Public key trust
Answer: C
Explanation:
Explanation/Reference:
Explanation:
In transitive trusts, trust between a first party and a third party flows through a second party that is trusted by both the first party and the third party.
NEW QUESTION: 4
You have a web app that accepts user input, and then uses a Microsoft Azure Machine Learning model to predict a characteristic of the user.
You need to perform the following operations:
Track the number of web app users from month to month.
Track the number of successful predictions made during the last minute.
Create a dashboard showcasing the analytics tor the predictions and the web app usage.
Which lambda layer should you query for each operation? To answer, drag the appropriate layers to the correct operations. Each layer may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.