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NEW QUESTION: 1
You have been asked to improve the way test automation tools are being used in your company.
Which one of the following is the BEST approach?
A. Keeping expected results separate from the automation tool to allow the testers to check the results
B. Using a keyword-driven testing approach to separate the actions and data from the tool's script
C. Ensuring that all data, inputs and actions are stored in the tool's script for ease of maintenance
D. Selecting and automating scripts that test new functionality to find the most defects
Answer: D

NEW QUESTION: 2
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält einen Server mit dem Namen Server1.
Server1 ist wie in der folgenden Tabelle gezeigt konfiguriert.

Sie planen eine Pilotbereitstellung von Microsoft Advanced Threat Analytics (ATA).
Sie müssen das ATA Center auf Server1 installieren.
Was solltest du zuerst tun?
A. Entfernen Sie Server1 aus der Domäne.
B. Installieren Sie Microsoft Security Compliance Manager (SCM).
C. Weisen Sie eine zusätzliche IPv4-Adresse zu.
D. Beziehen Sie ein SSL-Zertifikat.
Answer: D
Explanation:
https://docs.microsoft.com/en-us/advanced-threat-analytics/ata-prerequisites ATA Center which is the first component to be deployed on Server1, requires the use of SSL protocol to communicate with ATA Gateway To ease the installation of ATA, you can install self-signed certificates during installation.
Post deployment you should replace the self-signed with a certificate from an internal Certification Authority tobe used by the ATA Center.
Make sure the ATA Center and ATA Gateways have access to your CRL distribution point.
If the they don't have Internet access, follow the procedure to manually import a CRL, taking care to install the all the CRL distribution points for the whole chain.

NEW QUESTION: 3
A Machine Learning Engineer is preparing a data frame for a supervised learning task with the Amazon SageMaker Linear Learner algorithm. The ML Engineer notices the target label classes are highly imbalanced and multiple feature columns contain missing values. The proportion of missing values across the entire data frame is less than 5%.
What should the ML Engineer do to minimize bias due to missing values?
A. Replace each missing value by the mean or median across non-missing values in the same column.
B. Delete observations that contain missing values because these represent less than 5% of the data.
C. Replace each missing value by the mean or median across non-missing values in same row.
D. For each feature, approximate the missing values using supervised learning based on other features.
Answer: D
Explanation:
Use supervised learning to predict missing values based on the values of other features. Different supervised learning approaches might have different performances, but any properly implemented supervised learning approach should provide the same or better approximation than mean or median approximation, as proposed in responses A and C.
Supervised learning applied to the imputation of missing values is an active field of research.

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