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NEW QUESTION: 1
Jenna Stuart is a financial analyst for Deuce Hardware Company, a U.S. company that reports its results in
U.S. dollars. Wayward Distributing, Inc., is a foreign subsidiary of Deuce Hardware, which began operations on January 1,2007. Wayward is located in a foreign country and reports its results in the local currency called the Rho. Selected balance sheet information for Wayward is shown in the following table.
Stuart has been asked to analyze how the reported financial results of Wayward will be affected by the choice of the all-current or temporal methods of accounting for foreign operations. She has gathered the following exchange rate information on the $/Rho exchange rate:
* Spot rate on 1/01/08: $0.35 per Rho
* Spot rate on 12/31/08: $0.45 per Rho
* Average spot rate during 2008: $0.42 per Rho
Will fixed asset turnover (calculated using end-of-period balance sheet figures) likely be lower when calculated using the all-current method or remeasured using the temporal method?
A. Lower under the temporal method.
B. The same under either method.
C. Lower under the all-current method.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
With the Rho appreciating, fixed asset turnover will be lower under the all-current method. (Study Session
6, LOS 23.d,e)
NEW QUESTION: 2
Which two ways can Genesys Media Server integrate with SIP Server?
Choose 2 answers
A. Through GVP
B. Directly
C. Through Resource Manager
D. Through Proxy Manager
Answer: A,C
Explanation:
Reference: http://genesyslab.info/wiki/index.php/Special:Repository/81fr_depsip.pdf?id=2e30d00a-05d6-4c84-a539-eb7ddcbde5f4
NEW QUESTION: 3
どの2つの機能がモジュール式ネットワーク設計のメリットですか？」（2つ選択）
A. インテリジェントネットワークサービス
B. トラブルシューティングの容易さ
C. エンドツーエンドのセキュリティ
D. 障害分離の改善
E. 高いスケーラビリティ
Answer: B,E
NEW QUESTION: 4
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.
You create a new report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. It is company policy to ensure employees can view only the data associated with their region, so you create and populate a table for each region. You need to enforce the regional access policy to the data.
Which two actions should you take? (Choose two.)
A. Adjust the settings for each view to allow a related region-based security group view access.
B. Adjust the settings for each dataset to allow a related region-based security group view access.
C. Adjust the settings for each table to allow a related region-based security group view access.
D. Ensure all the tables are included in global dataset.
E. Ensure each table is included in a dataset for a region.
Answer: A,E
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