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NEW QUESTION: 1
Sie implementieren ein sicheres Netzwerk. Das Netzwerk enthält einen DHCP-Server mit dem Namen Server1, auf dem Windows Server 2016 ausgeführt wird.
Sie erstellen einen DHCP-Zulassungsfilter, der alle Computer im Netzwerk enthält, die zum Empfangen von IP-Adressen berechtigt sind.
Sie stellen fest, dass nicht autorisierte Computer eine IP-Adresse von Server1 beziehen können.
Sie müssen sicherstellen, dass nur autorisierte Computer eine IP-Adresse von Server1 erhalten können.
Lösung: Sie führen den folgenden Befehl aus.
Add-DHCPServer4Filter -ComputerName Server1 -MacAddress -List Allow
Erfüllt dies das Ziel?
A. Nein
B. Ja
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/powershell/module/dhcpserver/add-dhcpserverv4filter?view=win10-ps
NEW QUESTION: 2
Refer to the exhibit.
Router R2 is configured with multiple routes to reach network 10 1.1 0/24 from router R1. What protocol is chosen by router R2 to reach the destination network 10.1 1 0/24?
A. eBGP
B. EIGRP
C. static
D. OSPF
Answer: C
NEW QUESTION: 3
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?
A. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
B. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.
C. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
D. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
Answer: C
Explanation:
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html https://aws.amazon.com/athena/