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NEW QUESTION: 1
Ein Planer erstellt eine Liste verschiedener Arten von Datensätzen, die den Arbeitsaufträgen auf der Registerkarte "Pläne" hinzugefügt werden, um den Technikern die erforderlichen Komponenten für den Abschluss ihrer Arbeit bereitzustellen.
Welche Arten von nicht satzbezogenen Datensätzen können hinzugefügt werden? (Wähle zwei.)
A. Artikel
B. Services
C. Standarddienste
D. Materialien
E. Werkzeuge
Answer: B,D

NEW QUESTION: 2
Consider the following steps for a theoretical manual process
* Check in input folder for any new files.
* If there are no files check again later as files can arrive anytime, and there is no limit to the number of files that may come.
* Open the next available file.
* Take the first case
* Start System X and find the case details.
* If the case can't be found., move to the next one.
* After finding the case in System X. fetch additional case details from System Y.
* Again if the case can't be found, move to the next one.
* Analyse all the data to see if System Z should be updated
* If the data does not meet the requirements, add notes indicating this to Systems X and Y and move to the next case
* If the data does meet the requirements, update the case in System Z
* Add notes to Systems X and Y and move to the next case.
* At the end of the file, go back and look for another
* Stop checking for new files at 16:00 and finish any remaining cases.
* When all work is complete create a report of the day's exception cases.
* Close down Systems X, Y and Z.
If it is possible that there are long intervals between files arriving, what are the alternatives the process should take to control System X, System Y and System Z? (select 2 responses)
A. Close Y and Z down but keep X open because it is the first application needed to work a case.
B. Nothing because they will not have been started if no files have arrived yet.
C. Nothing, just leave them logged in until more work arrives
D. Stop them from timing out by keeping them active while waiting for files.
E. Minimise them to keep the desktop clear.
F. Log out while waiting and log back in when a file arrives.
Answer: A,F

NEW QUESTION: 3


Answer:
Explanation:

Explanation


Box 1: Selected
Only selected users should be able to join devices
Box 2: Yes
Require Multi-Factor Auth to join devices.
From scenario:
* Ensure that only users who are part of a group named Pilot can join devices to Azure AD
* Ensure that when users join devices to Azure Active Directory (Azure AD), the users use a mobile phone to verify their identity.

NEW QUESTION: 4
You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi-image classification deep learning model that uses a set of labeled bird photos collected by experts. You plan to use the model to develop a cross-platform mobile app that predicts the species of bird captured by app users.
You must test and deploy the trained model as a web service. The deployed model must meet the following requirements:
An authenticated connection must not be required for testing.
The deployed model must perform with low latency during inferencing.
The REST endpoints must be scalable and should have a capacity to handle large number of requests when multiple end users are using the mobile application.
You need to verify that the web service returns predictions in the expected JSON format when a valid REST request is submitted.
Which compute resources should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: ds-workstation notebook VM
An authenticated connection must not be required for testing.
On a Microsoft Azure virtual machine (VM), including a Data Science Virtual Machine (DSVM), you create local user accounts while provisioning the VM. Users then authenticate to the VM by using these credentials.
Box 2: gpu-compute cluster
Image classification is well suited for GPU compute clusters
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-common-identity
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/training-deep-learning