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NEW QUESTION: 1
Scenario
Refer to the topology. Your company has decided to connect the main office with three other remote branch offices using point-to-point serial links.
You are required to troubleshoot and resolve OSPF neighbor adjacency issues between the main office and the routers located in the remote branch offices.
Use appropriate show commands to troubleshoot the issues and answer all four questions.
Instructions
Enter Cisco IOS commands on the device to verify network operation and answer the multiple-choice
questions.
THIS TASK DOES NOT REQUIRE DEVICE CONFIGURATION.
Click on the device to gain access to the console of the device. No console or enable passwords are
required.
To access the multiple-choice questions, click on the numbered boxes on the left of the top panel.
There are four multiple-choice questions with this task. Be sure to answer all four questions before
clicking the Next button.
An OSPF neighbor adjacency is not formed between R3 in the main office and R6 in the Branch3 office.
What is causing the problem?
A. There is an OSPF hello and dead interval mismatch.
B. There is a PPP authentication issue; the username is not configured on R3 and R6.
C. There is an area ID mismatch.
D. The R3 router ID is configured on R6.
Answer: D
NEW QUESTION: 2
What are the two types of Session Variables?
A. Non System
B. Static
C. Dynamic
D. System
Answer: A,D
Explanation:
There are two types of session variables:
System - A session variable that the Oracle BI Server and Oracle BI Presentation Services use
for specific purposes.
System session variables have reserved names that cannot be used for other kinds of variables
(such as static or dynamic repository variables and non-system session variables).
Non-system - A system variable that the administrator creates and names. For example, the
administrator might create a SalesRegion non-system variable that initializes the name of a user's
sales region.
The administrator creates non-system session variables using the Oracle BI Administration Tool.
Note: Session Variables
A session variable is a variable that is initialized at login time for each user. When a user begins a
session, the Oracle BI Server creates a new instance of a session variable and initializes it.
There are as many instances of a session variable as there are active sessions on the Oracle BI
Server. Each instance of a session variable could be initialized to a different value.
NEW QUESTION: 3
Overview:
Relecloud is a social media company that processes hundreds of millions of social media posts per day and sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.
DB1 is hosted on a Microsoft Azure virtual machine.
Relecloud has two main offices. The offices are located in San Francisco and New York City.
The offices connect to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame. The highest trending topics generate the highest advertising revenue.
Relecloud wants to deliver reports to the advertisers by using Microsoft Power BI. The reports will provide real-time data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad- hoc analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year. The data will be retained for five years for the purpose of long-term trending.
Requirements:
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near real-time.
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.
Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Relecloud identifies the following technical requirements for the advertisers:
The advertisers must be able to see only their own data in the Power BI reports.
The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
The advertisers must be able to leverage existing Transact-SQL language knowledge when developing
the real-time streaming solution.
Members of the internal advertising sales team at Relecloud must be able to see only the sales date of
the advertisers to which they are assigned.
The internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting
rows for the advertisers to which they are not assigned.
The internal Relecloud advertising sales team must be able to use a text file to update the list of
advertisers, and then to upload the file to Azure Blob storage.
Relecloud identifies the following requirements for DB1:
Data generated by the streaming analytics platform must be stored in DB1.
The user names of the advertisers must be mapped to CustomerID in a table named Table2.
The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
The user names of the employees at Relecloud must be mapped to EmployeeID in a table named
Table3.
Relecloud identifies the following requirements for DB2:
DB2 must have minimal storage costs.
DB2 must run load processes in parallel.
DB2 must support massive parallel processing.
DB2 must be able to store more than 40 TB of data.
DB2 must support scaling up and down, as required.
Data from DB1 must be archived in DB2 for long-term storage.
All of the reports that are executed from DB2 must use aggregation.
Users must be able to pause DB2 when the data warehouse is not in use.
Users must be able to view previous versions of the data in DB2 by using aggregates.
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
Data movement between DB1 and DB2 must occur each hour.
An email alert must be generated when a failure of any type occurs during ETL processing.
Sample code and data:
You execute the following code for a table named rls_table1.
You use the following code to create Table1.
create table table1
(customerid int,
salespersonid int
...
)
Go
The following is a sample of the streaming data.
Which technology should you recommend to meet the technical requirement for analyzing the social media data?
A. Azure Stream Analytics
B. Azure Data Lake Analytics
C. Azure HDInsight Storm clusters
D. Azure Machine Learning
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Azure Stream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.
Scalability
Stream Analytics can handle up to 1 GB of incoming data per second. Integration with Azure Event Hubs and Azure IoT Hub allows jobs to ingest millions of events per second coming from connected devices, clickstreams, and log files, to name a few. Using the partition feature of event hubs, you can partition computations into logical steps, each with the ability to be further partitioned to increase scalability.
From scenario: Relecloud identifies the following technical requirements:
Social media data must be analyzed to identify trending topics in real-time.
The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
The real-time solution used to analyze the social media data must support scaling up and down without
service interruption.
Reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-introduction
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