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NEW QUESTION: 1
You have a menu item named menu item l that is used to launch a form named Form l by using the rich client.
You need to ensure that users who are granted the Maintain customer addresses privilege can use menu item l to open Form l in read mode.
What should you do?
A. Set menu item l to run on the server. Modify the Enabled property of the Maintain customer addresses privilege.
B. Create an entry point for the Maintain customer addresses privilege. Set the Access Level property of the entry point
C. Create an entry point for the Maintain customer addresses privilege. Add Form l to the Maintain customer addresses privilege.
D. Set menu item l to run on the server. Add Form l to the Maintain customer addresses privilege.
Answer: B

NEW QUESTION: 2
Scenario: On P2IOS-XR router what is targeted LDP hellos hold time on LDP session with 10.0.1.1:0 LDP ID?


A. 8.6 sec
B. 10 sec
C. 3 sec
D. 90 sec
Answer: C
Explanation:
Need to run command at PE8 router so that we can get the value . RP/0/RSP0/CPU0:P2#show mpls ldp discovery Local LDP Identifier: 10.0.2.1:0 Discovery Sources: Interfaces: GigabitEthernet0/0/0/0 (0x4000080): xmit/recv Source address: 192.168.1.2; Transport address: 10.0.2.1 Hello interval: 3 sec (due in 1.3 sec) LDP Id: 10.0.1.1:0 Source address: 192.168.1.1; Transport address: 10.0.1.1 Hold time: 10 sec (local:10 sec, peer:10 sec) (expiring in 7.4 sec) GigabitEthernet0/0/0/1 (0x40000c0): xmit/recv Source address: 192.168.2.2; Transport address: 10.0.2.1 Hello interval: 3 sec (due in 1.6 sec) LDP Id: 10.0.1.1:0 Source address: 192.168.2.1; Transport address: 10.0.1.1 Hold time: 10 sec (local:10 sec, peer:10 sec) (expiring in 9.7 sec)
RP/0/RP0/CPU0:router# show mpls ldp parameters LDP Parameters: Protocol Version: 1 Router ID: 10.0.2.1 Null Label: Implicit Session: Hold time: 180 sec Keepalive interval: 60 sec Backoff: Initial:15 sec, Maximum:120 sec Discovery: Link Hellos: Holdtime:15 sec, Interval:5 sec Targeted Hellos: Holdtime:90 sec, Interval:10 sec Graceful Restart: Enabled (Configured), Reconnect Timeout: 120 sec, Forwarding State Hold: 180 sec Timeouts: Binding with unresolved route: 300 sec LSD Recovery: 60 sec LDP Recovery: 360 sec # show mpls ldp neighbor detail--------- ?????? Interface... RP/0/RP0/CPU0:router# show mpls ldp neighbor detail Peer LDP Identifier: 2.2.2.2:0 TCP connection: 2.2.2.2:11707 - 1.1.1.1:646 Graceful Restart: No Session Holdtime: 180 sec State: Oper; Msgs sent/rcvd: 33/29 Up time: 00:13:37 LDP Discovery Sources: POS0/2/0/1 Targeted Hello (1.1.1.1 ->2.2.2.2, active) Addresses bound to this peer:
23.0.0.2 2.0.0.2 123.0.4.2 10.42.37.119
10.2.2.2 Peer holdtime: 180 sec; KA interval: 60 sec; Peer state: Estab Clients: Dir Adj Client Inbound label filtering: accept acl 'pfx_acl2' Session Protection: Enabled, state: Ready Duration: 30 seconds

NEW QUESTION: 3
What are two benefits of network automation? (Choose two)
A. to provide historical configuration management
B. to improve product lifecycle management
C. to increase programming language fluency
D. to enforce consistency in automated devices
Answer: B,D

NEW QUESTION: 4

A. Microsoft Azure Cognitive Services
B. Microsoft Azure Stream Analytics
C. Microsoft Azure Notification Hubs
D. a Microsoft Azure HDInsight HBase cluster
Answer: D
Explanation:
Explanation: HDInsight HBase is offered as a managed cluster that is integrated into the Azure environment. The clusters are configured to store data directly in Azure Storage or Azure Data Lake Store, which provides low latency and increased elasticity in performance and cost choices. This enables customers to build interactive websites that work with large datasets, to build services that store sensor and telemetry data from millions of end points, and to analyze this data with Hadoop jobs. HBase and Hadoop are good starting points for big data project in Azure; in particular, they can enable real-time applications to work with large datasets.
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Topic 3, Litware, Inc
Overview
General Overview
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related data.
Litware has a health tracking application that sends health-related data horn a user's personal device to Microsoft Azure.
Physical Locations
Litware has three development and commercial offices. The offices are located in the Untied States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than
80 countries.
Existing Environment
Environment
In addition to using desktop computers in all of the offices. Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning Solution.
Litware Health Tracking Application
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each activity is limited to a total of 3 KB and includes a customer Identification key.
In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.
Machine Learning Experiments
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements
Planned Changes
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Business Goals
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Technical Requirements
Litware identities the following technical requirements:
Data from the devices must be stored from three years in a format that enables the fast processing of data fields and Filtering.
The third-party companies must be able to use the Litware Machine learning models to generate recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the experiments without interrupting or degrading the performance of the production environment.
Privacy Requirements
Activity tracking data must be available to all of the Litware developers for experimentation.
The developers must be prevented from accessing the private information of the users.
Other Technical Requirements
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.