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NEW QUESTION: 1
What FirePOWER protocol provides gateway redundancy for IPv4 and IPv6 addresses on routed or hybrid interfaces?
A. ECLB
B. OSPF
C. WCCP
D. SFRP
Answer: D
Explanation:
SFRP
You can configure Cisco Redundancy Protocol (SFRP) to achieve network redundancy for high availability on either a 7000 or 8000 Series device high-availability pair or individual devices.
SFRP provides gateway redundancy for both IPv4 and IPv6 addresses. You can configure SFRP on routed and hybrid interfaces.
If the interfaces are configured on individual devices, they must be in the same broadcast domain. You must designate at least one of the interfaces as master and an equal number as backup. The system supports only one master and one backup per IP address. If network connectivity is lost, the system automatically promotes the backup to master to maintain connectivity. The options you set for SFRP must be the same on all interfaces in a group of SFRP interfaces. Multiple IP addresses in a group must be in the same master/ backup state. Therefore, when you add or edit an IP address, the state you set for that address propagates to all the addresses in the group. For security purposes, you must enter values for Group ID and Shared Secret that are shared among the interfaces in the group.
To enable SFRP IP addresses on a virtual router, you must also configure at least one non-SFRP IP address.
For 7000 or 8000 Series devices in a high-availability pair, you designate the shared secret and the system copies it to the high-availability pair peer along with the SFRP IP configuration. The shared secret authenticates peer data.
https://www.cisco.com/c/en/us/td/docs/security/firepower/601/configuration/guide/fpmc-config- guide-v601/Setting_Up_Virtual_Routers.html
NEW QUESTION: 2
オンプレミスの資格情報管理システムの利点は次のうちどれですか？
A. システム構成の制御
B. インフラストラクチャの資本コストを削減
C. 資格情報の相互運用性の向上
D. 管理オーバーヘッドの削減
Answer: A
NEW QUESTION: 3
データの視覚化要件に従って、診断テストの評価用に視覚化を作成する必要があります。
どの3つのモジュールを順番に使用することをお勧めしますか？回答するには、適切なモジュールをモジュールのリストから回答エリアに移動し、正しい順序で並べます。
Answer:
Explanation:
Explanation:
Step 1: Sweep Clustering
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.
Step 2: Train Model
Step 3: Evaluate Model
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
References:
http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html