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NEW QUESTION: 1
Examine the Data Guard configuration:
DGMGRL> show configuration;
Configuration -Animals
Protection Mode: MaxAvailability
Databases:
dogs- Primary database
sheep- (*) Physical standby database
cats- Physical standby database
Fast-Start Failover: ENABLED
Configuration Status:
SUCCESS
What happens if you issue "switchover" to sheep;" at the DGMGRL prompt?
A. It results in an error indicating that a switchover is not allowed.
B. The switchover succeeds and Cats become the new failover target.
C. The switchover succeeds and Dogs become the new failover target.
D. The switchover succeeds but Fast-Start Failover is suspended.
E. The switchover succeeds but Dogs need to be reinstated.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Incorrect Answers:
E: NOT ALLOWED - Either this is a standby database and the primary database has not been switched first, or this is a primary database and there are no standby databases.
NEW QUESTION: 2
Which statement best explains the view of a CIT with all its relationships and related CITs?
A. in the system report application in the application area
B. in the View Explorer tree after expanding the "+" sign
C. by right clicking on the CIT and selecting "View Relationships"
D. in the topology map after selecting CIT in the View Explorer
Answer: D
NEW QUESTION: 3
Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?
A. Create an additional table with only the necessary columns.
B. Create a view on the table to present to the virtualization tool.
C. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
D. Export the data into a Google Sheet for virtualization.
Answer: B
Explanation:
Topic 2, MJTelco Case Study
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
Ensure secure and efficient transport and storage of telemetry data
Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately 100m records/day Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure.
We also need environments in which our data scientists can carefully study and quickly adapt our models.
Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis. Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
NEW QUESTION: 4
You are the Office 365 administrator for your company. The company environment includes Office 2010, Office 2013, Windows 7, and Windows 8. Office Telemetry logging has been enabled in the environment.
The company plans to use coauthoring.
You need to gather information about Microsoft Excel XLS real-time data (RTD) add-ins.
Which two methods can you use to achieve this goal? Each correct answer presents a complete solution.
A. Open workbooks by using Excel 2010 on client computers that run Windows 8.
B. Open workbooks by using Excel 2013 on client computers that run Windows 7.
C. Open workbooks by using Excel 2013 on client computers that run Windows 8.
D. Open workbooks by using Excel 2010 on client computers that run Windows 7.
Answer: B,C
Explanation:
Office Telemetry logging in Office 2013 works as follows: When an Office document or solution is loaded, used, closed, or raises an error in certain Office 2013 applications, the application adds a record about the event to a local data store. Each record includes a description of the problem and a link to more information. Inventory and usage data is also tracked.
Office Telemetry is new for Office 2013, so it's not built into Office 2003, Office 2007, and Office 2010.
For those clients, you deploy an agent that collects information about the installed add-ins and the most recently used documents. You won't get application event data for these clients like you do with Office
2013 clients, but you'll get inventory and usage data that helps you discover what is being used and likely important to your business.
Microsoft Excel XLS real-time data(RTD) add-ins are Excel worksheets that use the RealTimeData worksheet function to call an Automation server to retrieve data in real-time. This add-in only works with Excel 2013. Therefore, the answer to this question is to open Excel 2013 either on a client running Windows 7 or on a client running Windows 8.
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