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NEW QUESTION: 1
MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons? Select two.
A. Resource management
B. Managing file system metadata
C. Job scheduling/monitoring
D. Heath states checks (heartbeats)
E. Managing tasks
F. MapReduce metric reporting
G. Launching tasks
H. Job coordination between the ResourceManager and NodeManager
Answer: A,C
Explanation:
The fundamental idea of MRv2 is to split up the two major functionalities of
the JobTracker, resource management and job scheduling/monitoring, into separate
daemons. The idea is to have a global ResourceManager (RM) and per-application
ApplicationMaster (AM). An application is either a single job in the classical sense of Map-
Reduce jobs or a DAG of jobs.
Note:
The central goal of YARN is to clearly separate two things that are unfortunately smushed
together in current Hadoop, specifically in (mainly) JobTracker:
/ Monitoring the status of the cluster with respect to which nodes have which resources
available. Under YARN, this will be global.
/ Managing the parallelization execution of any specific job. Under YARN, this will be done separately for each job.
Reference: Apache Hadoop YARN - Concepts & Applications
NEW QUESTION: 2
You have an Azure Active Directory (Azure AD) tenant named contoso.com that contains the users shown in the following table.
You create and enforce an Azure AD Identity Protection user risk policy that has the following settings:
* Assignment: Include Group1, Exclude Group2
* Conditions: Sign-in risk of Medium and above
* Access: Allow access, Require password change
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
User1 is member of Group1. Sign in from unfamiliar location is risk level Medium.
Box 2: Yes
User2 is member of Group1. Sign in from anonymous IP address is risk level Medium.
Box 3: No
Sign-ins from IP addresses with suspicious activity is low.
Note:
Azure AD Identity protection can detect six types of suspicious sign-in activities:
* Users with leaked credentials
* Sign-ins from anonymous IP addresses
* Impossible travel to atypical locations
* Sign-ins from infected devices
* Sign-ins from IP addresses with suspicious activity
* Sign-ins from unfamiliar locations
These six types of events are categorized in to 3 levels of risks - High, Medium & Low:
References:
http://www.rebeladmin.com/2018/09/step-step-guide-configure-risk-based-azure-conditional-access-policies/
NEW QUESTION: 3
Ihr Unternehmen hat eine Hauptniederlassung und eine Zweigniederlassung.
Das Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Hauptniederlassung enthält Domänencontroller, auf denen Windows Server 2012 ausgeführt wird. Die Zweigstelle enthält einen schreibgeschützten Domänencontroller (RODC), auf dem Windows Server 2012 ausgeführt wird.
Sie müssen eine Lösung empfehlen, um zu steuern, welche Active Directory-Attribute auf den RODC repliziert werden.
Was sollten Sie in die Empfehlung aufnehmen?
A. Beschränkte Delegierung
B. Der gefilterte Attributsatz
C. Anwendungsverzeichnispartitionen
D. Die partielle Attributmenge
Answer: B
Explanation:
RODC-gefilterter Attributsatz
Einige Anwendungen, die AD DS als Datenspeicher verwenden, verfügen möglicherweise über anmeldeinformationsähnliche Daten (z. B. Kennwörter, Anmeldeinformationen oder Verschlüsselungsschlüssel), die nicht auf einem RODC gespeichert werden sollen, falls der RODC gefährdet ist.
Für diese Anwendungstypen können Sie dynamisch eine Reihe von Attributen im Schema für Domänenobjekte konfigurieren, die nicht auf einen RODC repliziert werden. Diese Gruppe von Attributen wird als RODC-gefilterte Attributgruppe bezeichnet. Attribute, die im RODC-gefilterten Attributsatz definiert sind, dürfen nicht auf RODCs in der Gesamtstruktur repliziert werden.
Referenz: AD DS: Schreibgeschützte Domänencontroller
https://technet.microsoft.com/en-us/library/cc732801(v=ws.10).aspx