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NEW QUESTION: 1
Refer to the exhibit.
If the network switch is configured as shown, which two statements about network traffic are true? (Choose two.)
A. Traffic enters the shaper on a weighted fair queueing basis.
B. Drop behavior is random for traffic in excess of 6 Mbps.
C. Voice traffic is given priority until it reaches 1.5 Mbps.
D. Voice traffic is given priority until it reaches 6 Mbps.
E. Traffic enters the shaper on a FIFO basis.
Answer: C,E
Explanation:
A. Serial interfaces at E1 (2.048 Mbps) and below use weighted fair queueing (WFQ) by default.
Other interfaces use first-in first-out (FIFO) by default.
D. Voice traffic is given priority up to 25% of the shape average value, which is 6000000, so 25% of 6 Mbps is 1.5 Mbps.
NEW QUESTION: 2
There are many new highways in our country and the network structure is complicated. ASON technology can greatly improve Increase the overall reliability of the network.
A. TRUE
B. FALSE
Answer: A
NEW QUESTION: 3
提案されたシステムの変更が既存のセキュリティ標準に違反する場合、競合は次の方法で解決されることが最善です。
A. 緩和コントロールの実装。
B. セキュリティ標準の実施。
C. システム変更の再設計。
D. 残存リスクの計算。
Answer: A
NEW QUESTION: 4
You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?
A. Consume the stream of data in Cloud Dataflow using Kafka IO. Set a sliding time window of 1 hour every 5 minutes. Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
B. Consume the stream of data in Cloud Dataflow using Kafka IO. Set a fixed time window of 1 hour.
Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
C. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Sub. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to BigQuery. Use Cloud Scheduler to run a script every five minutes that counts the number of rows created in BigQuery in the last hour. If that number falls below 4000, send an alert.
D. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Sub. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to Cloud Bigtable. Use Cloud Scheduler to run a script every hour that counts the number of rows created in Cloud Bigtable in the last hour. If that number falls below 4000, send an alert.
Answer: D