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NEW QUESTION: 1
Which three features are QoS congestion-management tools? (Choose three.)
A. WFQ
B. PQ
C. FIFO
D. PDQ
E. PPPoE
F. PPP
Answer: A,B,C
Explanation:
Reference:
https://www.cisco.com/c/en/us/td/docs/ios/12_2/qos/configuration/guide/fqos_c/qcfconmg.html
NEW QUESTION: 2
Regard to server load balancing technology, the commands executed on the firewall and the output obtained are as follows:
Which is correct about the following statement?
A. The load balancing strategy use weighted polling algorithm.
B. The real servers of the load balancing strategy are all forced unavailable.
C. The load balancing strategy use weighted minimum connection algorithm.
D. The load balancing policy enables the service health check function. The detection packets are TCP packets.
Answer: A
NEW QUESTION: 3
A client has an issue with large files taking a long time to open or save. As time goes by, the issue worsens.
The client has hundreds of GBs of files that are still in the process of backing up. The technician has verified that the hard drive is healthy and there are no signs of failure. Which of the following troubleshooting steps should the technician perform NEXT?
A. Reformat the drive and reinstall the OS.
B. Install the latest drivers from the hardware vendor.
C. Perform a scan of the drive for file fragmentation.
D. Run chkdsk on the workstation's hard drive.
Answer: C
NEW QUESTION: 4
広告応答のモデリング戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Implement a K-Means Clustering model
Step 2: Use the cluster as a feature in a Decision jungle model.
Decision jungles are non-parametric models, which can represent non-linear decision boundaries.
Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system.
Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences.
Scenario:
Ad response rated declined.
Ad response models must be trained at the beginning of each event and applied during the sporting event.
Market segmentation models must optimize for similar ad response history.
Ad response models must support non-linear boundaries of features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass-decision-jungle
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score-matchbox-recommende