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NEW QUESTION: 1
A Cisco Application Control Engine Appliance (ACE) non-admin context does not support "sticky" configuration. What is the reason for this issue?
A. ACE sticky license is not installed
B. ACE stickiness is not supported in a non-admin context
C. Stickiness is configured properly in the CCIE virtual context
D. ACE stickiness resources are not defined in an admin context
Answer: D
Explanation:
Stickiness is an ACE feature that allows the same client to maintain multiple simultaneous or subsequent TCP or IP connections with the same real server for the duration of a session. A session is defined as a series of transactions between a client and a server over some finite period of time (from several minutes to several hours). This feature is particularly useful for e-commerce applications where a client needs to maintain multiple connections with the same server while shopping online, especially while building a shopping cart and during the checkout process.
Depending on the configured SLB policy, the ACE "sticks" a client to an appropriate server after the ACE has determined which load-balancing method to use. If the ACE determines that a client is already stuck to a particular server, then the ACE sends that client request to that server, regardless of the load-balancing criteria specified by the matched policy. If the ACE determines that the client is not stuck to a particular server, it applies the normal load-balancing rules to the content request
Reference: http://www.cisco.com/c/en/us/td/docs/interfaces_modules/services_modules/ace/vA4_2_0/configur ation/slb/guide/slbcfggd/sticky.pdf
NEW QUESTION: 2
What should you do to improve high availability of the real-time data processing solution?
A. Deploy a High Concurrency Databricks cluster.
B. Deploy an Azure Stream Analytics job and use an Azure Automation runbook to check the status of the job and to start the job if it stops.
C. Set Data Lake Storage to use geo-redundant storage (GRS).
D. Deploy identical Azure Stream Analytics jobs to paired regions in Azure.
Answer: D
Explanation:
Guarantee Stream Analytics job reliability during service updates
Part of being a fully managed service is the capability to introduce new service functionality and improvements at a rapid pace. As a result, Stream Analytics can have a service update deploy on a weekly (or more frequent) basis. No matter how much testing is done there is still a risk that an existing, running job may break due to the introduction of a bug. If you are running mission critical jobs, these risks need to be avoided. You can reduce this risk by following Azure's paired region model.
Scenario: The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability
NEW QUESTION: 3
A. Option C
B. Option D
C. Option A
D. Option B
Answer: C