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NEW QUESTION: 1
You are designing a large-scale, multitenant data center. Which two features provide each tenant with the
ability to manage its own IP services at the aggregation layer? (Choose two.)
A. Cisco Nexus 7000 Series RBAC
B. Cisco Nexus 7000 Series VDCs
C. Cisco Nexus 7000 Series OTV
D. Cisco ASA security contexts
E. Cisco ASA VRF tables
Answer: B,C
NEW QUESTION: 2
Which values must be defined when creating a new Opportunity stage? Choose 3
A. Probability
B. Type
C. Amount
D. Close date
E. Forecast category
Answer: C,D,E
NEW QUESTION: 3
Universal Containers (UC) has implemented Service Cloud. There is a flag field on the case object that marks a case as (Sensitive). UC requested that this flag can be viewed by all users who have access to the case but only be edited by the assigned case assessor. The case assessor is a lookup field on the case object. How can an architect achieve this requirement?
A. Custom Lightning Component.
B. Permission Set.
C. Field-level security
D. Object Permissions.
Answer: A
NEW QUESTION: 4
You are developing a solution that performs real-time analysis of IoT data in the cloud.
The solution must remain available during Azure service updates.
You need to recommend a solution.
Which two actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Deploy an Azure Stream Analytics job to two separate regions that are not in a pair.
B. Deploy an Azure Stream Analytics job to one region in a paired region.
C. Monitor jobs in both regions for failure.
D. Monitor jobs in the primary region for failure.
E. Deploy an Azure Stream Analytics job to each region in a paired region.
Answer: C,E
Explanation:
Explanation
Stream Analytics guarantees jobs in paired regions are updated in separate batches. As a result there is a sufficient time gap between the updates to identify potential breaking bugs and remediate them.
Customers are advised to deploy identical jobs to both paired regions.
In addition to Stream Analytics internal monitoring capabilities, customers are also advised to monitor the jobs as if both are production jobs. If a break is identified to be a result of the Stream Analytics service update, escalate appropriately and fail over any downstream consumers to the healthy job output. Escalation to support will prevent the paired region from being affected by the new deployment and maintain the integrity of the paired jobs.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability