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NEW QUESTION: 1
Welche zwei Aktionen werden vom Weighted Random Early Detection-Mechanismus ausgeführt? (Wähle zwei)
A. Pakete mit niedrigerer Priorität werden verworfen, bevor Pakete mit höherer Priorität verworfen werden
B. Es kann verschiedene Flows mit einem hohen Grad an Granularität identifizieren
C. Es unterstützt die Protokollerkennung
D. Es garantiert die Zustellung von Paketen mit hoher Priorität
E. Es kann Staus verringern, indem verhindert wird, dass sich die Warteschlange füllt
Answer: A,E
Explanation:
Weighted Random Early Detection (WRED) is just a congestion avoidance mechanism. WRED drops packets selectively based on IP precedence. Edge routers assign IP precedences to packets as they enter the network. When a packet arrives, the following events occur:
1. The average queue size is calculated. 2. If the average is less than the minimum queue threshold, the arriving packet is queued. 3. If the average is between the minimum queue threshold for that type of traffic and the maximum threshold for the interface, the packet is either dropped or queued, depending on the packet drop probability for that type of traffic. 4. If the average queue size is greater than the maximum threshold, the packet is dropped. WRED reduces the chances of tail drop (when the queue is full, the packet is dropped) by selectively dropping packets when the output interface begins to show signs of congestion (thus it can mitigate congestion by preventing the queue from filling up). By dropping some packets early rather than waiting until the queue is full, WRED avoids dropping large numbers of packets at once and minimizes the chances of global synchronization. Thus, WRED allows the transmission line to be used fully at all times.
WRED generally drops packets selectively based on IP precedence. Packets with a higher IP precedence are less likely to be dropped than packets with a lower precedence. Thus, the higher the priority of a packet, the higher the probability that the packet will be delivered
NEW QUESTION: 2
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?
A. Google Compute Engine with Google BigQuery
B. Google Cloud Dataproc
C. Google Container Engine with Bigtable
D. Google Cloud Dataflow
Answer: D
Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
References: https://cloud.google.com/dataflow/
NEW QUESTION: 3
どのコマンドは既存のグループにネストオブジェクトに使用されますか。
A. group-object
B. object-group
C. object-group network
D. network group-object
Answer: A
NEW QUESTION: 4
Which option is the cause when a DIMM is marked as bad?
A. More than 16000 errors were witnessed during test execution during BIOS.
B. DIMM Blacklisting is enabled.
C. The DIMM is missing.
D. The bank of DIMMs is composed of different size DIMMs.
Answer: A