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NEW QUESTION: 1
Refer to the exhibit.

Which statement best describes the problem?
A. The gateway that is configured under context vpn1 is not inservice.
B. The config has not been properly updated for context vpn1.
C. Context vpn1 is not inservice.
D. There is no gateway that is configured under context vpn1.
Answer: C

NEW QUESTION: 2
Identify the dictionary type of field calog used for the ALV control?
A. lcv_t_fcat
B. Fieldcat
C. alv_calog
D. Calog
Answer: D

NEW QUESTION: 3
Which of following is granted by the Manage Territories Permission (Select all that apply)?
A. Create and edit account assignment rules
B. Create and edit territories
C. Manually assign accounts to territories
D. Add and remove users from territories
E. Create and Edit Forecasts
F. Configure organization-wide territory management settings
Answer: A,B,C,D,F

NEW QUESTION: 4
At the HUAWEICONNECT 2018 conference, Huawei officially released Huawei Intelligent Edge Fabric (IEF) and Atlas500 smart small stations, providing full-stack capabilities from AI chips, intelligent hardware to edge cloud services. Which of the following is not the typical application scenarios?
A. Remote disaster recovery. Through the cloud line to connect the user's local data center with Huawei cloud VPC Internet, with the VPC cross-AZ deployment, enabling users to back up data and services to different regions, to achieve the purpose of Remote Disaster Recovery
B. Industrial visual scene. The cloud-trained visual model is deployed on the edge side to achieve real-time product prediction, improve detection efficiency, and improve product quality.
C. Anping monitoring scene. Through video pre-analysis on the edge side, real-time perceived security events, monitoring linkages of video surveillance scenes such as campus, residential, and business super
D. Industrial manufacturing predictive maintenance. Predictive maintenance of equipment is a typical scenario of industrial IoT. The edge end can preprocess a large amount of data in time, and predict the operation and maintenance efficiency of the equipment through the edge model prediction, reducing the unplanned downtime of the equipment.
Answer: A