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NEW QUESTION: 1
You have a sales report that shows activities for Accounts in the last 30 days. When you run an advanced find query for Accounts with the custom field Heat Level equal to Hot, you are not able to access the report.
A Form: Report: Account Activity last 30 Days.
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION: 2
Sie haben ein Microsoft 365-Abonnement.
Sie konfigurieren Berechtigungen für Security & Compliance.
Sie müssen sicherstellen, dass die Benutzer die in der folgenden Tabelle aufgeführten Aufgaben ausführen können.
Die Lösung muss das Prinzip des geringsten Privilegs anwenden.
Welcher Rolle sollten Sie jeden Benutzer zuordnen? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/office365/securitycompliance/permissions-in-the-security-and-compliance-cent
NEW QUESTION: 3
Ihr Unternehmen verfügt über einen Microsoft Azure Active Directory-Mandanten (Azure AD).
Das Unternehmen hat eine Volumenlizenzvereinbarung und verwendet einen Produktschlüssel, um Windows 10 zu aktivieren.
Sie planen, Windows 10 Pro mithilfe des Microsoft Deployment Toolkit (MDT) und der Windows Deployment Services (WDS) auf 200 neuen Computern bereitzustellen.
Sie müssen sicherstellen, dass die neuen Computer während der Installation so konfiguriert werden, dass sie den richtigen Produktschlüssel haben.
Was sollten Sie konfigurieren?
A. Ein Windows AutoPilot-Bereitstellungsprofil
B. Ein WDS-Boot-Image
C. Die Geräteeinstellungen in Azure AD
D. eine MDT-Tasksequenz
Answer: B
Explanation:
References:
https://docs.microsoft.com/en-us/windows/deployment/deploy-windows-mdt/deploy-a-windows-10-imageusing-mdt#a-href-idsec08astep-8-deploy-the-windows-10-client-image
NEW QUESTION: 4
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. Delete observations that contain missing values because these represent less than 5% of the data.
B. For each feature, approximate the missing values using supervised learning based on other features.
C. Replace each missing value by the mean or median across non-missing values in same row.
D. Replace each missing value by the mean or median across non-missing values in the same column.
Answer: B
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.