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NEW QUESTION: 1
顧客の延滞プロセスを実行する場合、プロセスを実行するビジネスユニットはドロップダウンメニューに表示されません。
実行する必要のあるアクションを特定します。
A. ビジネスユニットは、延滞プロセスを実行するための[パラメータ]タブの必須オプションではありません。
B. [設定]ボタンをクリックして適切な設定を適用し、ビジネスユニットがドロップダウンメニューに表示されるようにします。
C. ユーザーがアクセスできるビジネスユニットのみが値の一覧に表示されます。セキュリティオプションを変更して、ユーザーにアクセスを提供します。
D. ドロップダウンメニューに表示されない場合は、チェックボックスを選択してデフォルトのビジネスユニットを入力します。
Answer: C

NEW QUESTION: 2
Your network contains a System Center 2012 Configuration Manager environment.
Your company deploys 1,000 client computers.
You discover that information about printers fails to appear in any inventory queries or reports. Information about other hardware devices appears in the inventory queries and reports.
You need to ensure that Configuration Manager data includes information about the printers.
What should you do?
A. Enable a default WMI class in the Hardware Inventory Classes list.
B. Add a file name to the Software Inventory configuration.
C. Modify the Enable software inventory on clients setting.
D. Add a file name to the Hardware inventory configuration.
E. Select Collect NOIDMIF files in Hardware Inventory.
F. Modify the Enable hardware inventory on clients setting.
G. Add a WMI class to the Hardware inventory Classes list.
H. Add a WMI class to the Sms_def.mof file.
I. Add a file name to Software Metering.
Answer: A
Explanation:
Hardware Inventory Class All objects in AD are instances of classes defined in the AD schema. The schema provides definitions for common objects such as users, computers, and printers
Adding new device/class to hardware inventory
- In the hardware inventory class window click the add button
- Next click the 'Connect' button

- Select the desired class and click 'Edit' - Give your new device/class a friendly name (instead of the default class name)


- Now you can select the properties you want to add (as you did in the previous section).

- You can see the result in the resource explorer:

Hardware inventory works by querying Windows Management Instrumentation (WMI) for all data from certain WMI classes. WMI includes classes for operating system configuration and entities (such as user accounts), installed software, software configuration, and other objects (such as for the logged on user). These classes are supplements to hardware classes. Hardware inventory collects information about many things besides hardware. For example, it can inventory software by collecting details about programs listed in Add or
Remove Programs in Control Panel or programs that have been installed using Windows
Installer.
Most of your inventory needs can be served by hardware inventory collection alone.

NEW QUESTION: 3
A customer is configuring the dynamic vNIC connection policy in a Cisco UCS domain. Why is the dynamic vNIC policy required?
A. It is mainly for the Cisco UCS Manager to communicate with the fabric interconnect.
B. It is required for Cisco UCS instances that include servers with VIC adapters on which you have installed VMs and configured dynamic vNICs.
C. It is only required if you are configuring Adapter-FEX.
D. It is only required if you are configuring VM-FEX.
Answer: B

NEW QUESTION: 4
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 a view on the table to present to the virtualization tool.
B. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
C. Create an additional table with only the necessary columns.
D. Export the data into a Google Sheet for virtualization.
Answer: A
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.