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NEW QUESTION: 1
A company has determined that its optimal capital structure consists of 40 percent debt and 60 percent equity. Given the following information, calculate the marginal weighted average cost of capital when the capital budget is $40,000.
k(d) (interest rate on the firm's new date) = 10%
Net income = $40,000
Payout ratio = 50%
Tax rate = 40%
P(0) = $25
Growth = 0%
Shares outstanding = 10,000 Flotation cost on additional equity = 15%
A. 14.28%
B. 11.81%
C. 8.05%
D. 13.69%
E. 7.20%
Answer: C
Explanation:
Explanation/Reference:
Explanation:
First, find the amount of equity and debt needed for a $40,000 budget:
Debt = 0.4 x $40,000 = $16,000; Equity = 0.6 x $40,000 = $24,000.
We can find the amount of retained earnings = Net Income(1 - Payout ratio), or RE = $40,000 x 0.5
$20,000.
We will need to find the cost of new common equity, because we have only $20,000 of equity on hand, and we need $4,000 more!
Find the dividend, Do = [(0.5) $40,000]/# of Shares = $20,000/10,000 = $2.00.
Then, find the cost of new equity: k(e) = D1/[P0(1 - F)] + g = $2.00/[$25(1 - 0.15)] + 0% = 0.0941 = 9.41%.
Finally, calculate WACC, using k(e) = 0.0941, and k(d) = 0.10, so
WACC = (D/A)(1 - Tax rate)k(d) + (E/A)k(e)
WACC = 0.4(1 - 0.4)(0.10) + 0.6(0.0941) = 0.0805, or 8.05%.
NEW QUESTION: 2
Which statement describes the supported integration method when Cisco Unity Connection and Cisco Unified Communications Manager are installed on the same server as Cisco Unified Communications Manager Business Edition?
A. Only SIP integration is supported.
B. Q-Sig integration is supported through a voice-enabled Cisco ISR router.
C. Circuit-switched integration is supported through PIMG.
D. Only SCCP integration is supported.
E. Both SCCP or SIP integration are supported, but you must choose one or the other.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
When installed on the same server there is no way to create trunk that is why sccp is the only way Cisco Unity Connection and Cisco Unified Communications Manager are installed on the same server.
NEW QUESTION: 3
A company is deploying a service-based data environment. You are developing a solution to process this data.
The solution must meet the following requirements:
* Use an Azure HDInsight cluster for data ingestion from a relational database in a different cloud service
* Use an Azure Data Lake Storage account to store processed data
* Allow users to download processed data
You need to recommend technologies for the solution.
Which technologies should you use? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Box 1: Apache Sqoop
Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
Azure HDInsight is a cloud distribution of the Hadoop components from the Hortonworks Data Platform (HDP).
Incorrect Answers:
DistCp (distributed copy) is a tool used for large inter/intra-cluster copying. It uses MapReduce to effect its distribution, error handling and recovery, and reporting. It expands a list of files and directories into input to map tasks, each of which will copy a partition of the files specified in the source list. Its MapReduce pedigree has endowed it with some quirks in both its semantics and execution.
RevoScaleR is a collection of proprietary functions in Machine Learning Server used for practicing data science at scale. For data scientists, RevoScaleR gives you data-related functions for import, transformation and manipulation, summarization, visualization, and analysis.
Box 2: Apache Kafka
Apache Kafka is a distributed streaming platform.
A streaming platform has three key capabilities:
Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.
Store streams of records in a fault-tolerant durable way.
Process streams of records as they occur.
Kafka is generally used for two broad classes of applications:
Building real-time streaming data pipelines that reliably get data between systems or applications
Building real-time streaming applications that transform or react to the streams of data
Box 3: Ambari Hive View
You can run Hive queries by using Apache Ambari Hive View. The Hive View allows you to author, optimize, and run Hive queries from your web browser.
References:
https://sqoop.apache.org/
https://kafka.apache.org/intro
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-ambari-view