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NEW QUESTION: 1
Assume the following information about a stock market series:
Observed beginning value: 1677
Anticipated ending value: 1890
Expected dividends during the period: $16.36
Required rate of return: 19.50%
Using this information, what is the expected rate of return for this index? (Assume a one-year holding period.)
A. 11.73%
B. None of these answers is correct.
C. 14.79%
D. 10.40%
E. 12.14%
Answer: B
Explanation:
Explanation/Reference:
Explanation:
The anticipated rate of return for this stock market series is found as 13.68%. Thus, none of these answers is correct.
To calculate the expected rate of return for a stock market series, the following information must be known:
The beginning value for the series, the anticipated ending value for the series, and the amount of any dividends and/or distributions during the period.
Once this information has been determined, the expected return on a stock market index can be found by employing the following equation: {E(R) = [(EV - BV + Div) / BV]}. Where E(R) = the expected return on the stock market series, EV = the anticipated ending value for the series, BV = the observed beginning value for the series, and Div = the amount of any dividends paid during the period.
In this example, all of the necessary information has been provided and the calculation of the expected return on this stock market series is found as follows: {E(R) = [$1890 - $1677 + $16.36] / 1677} = 13.68%.
This is significantly less than the required rate of return. Assuming that both the ending value and dividend figure is accurate, investment in this stock market series is likely not warranted.
NEW QUESTION: 2
Cloud Storageバケット内に、外部企業と共有するオブジェクトがあります。オブジェクトに機密データが含まれています。 4時間後にコンテンツへのアクセスを削除したい。外部の会社には、特定のユーザーベースのアクセス権限を付与できるGoogleアカウントがありません。必要な手順が最も少ない、最も安全な方法を使用したい。あなたは何をするべきか？
A. 外部企業がアクセスするための新しいCloud Storageバケットを作成します。オブジェクトをそのバケットにコピーします。 4時間経過したらバケットを削除します。
B. 有効期限が4時間の署名付きURLを作成し、そのURLを会社と共有します。
C. ストレージバケットを静的Webサイトとして構成し、オブジェクトのURLを会社に提供します。 4時間後にオブジェクトをストレージバケットから削除します。
D. オブジェクトアクセスを「パブリック」に設定し、オブジェクトライフサイクル管理を使用して、4時間後にオブジェクトを削除します。
Answer: B
NEW QUESTION: 3
You have an Azure subscription named Subscription1.
Subscription1 contains the virtual machines in the following table.
Subscription1 contains a virtual network named VNet1 that has the subnets in the following table.
VM3 has a network adapter named NIC3. IP forwarding is enabled on NIC3. Routing is enabled on VM3.
You create a route table named RT1. RT1 is associated to Subnet1 and Subnet2 and contains the routes in the following table.
You apply RT1 to Subnet1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
Traffic from VM1 and VM2 can reach VM3 thanks to the routing table, and as IP forwarding is enabled on VM3, traffic from VM3 can reach VM1.
Box 2: No
VM3, which has IP forwarding, must be turned on, in order for traffic from VM2 to reach VM1.
Box 3: Yes
The traffic from VM1 will reach VM3, which thanks to IP forwarding, will send the traffic to VM2.
References: https://www.quora.com/What-is-IP-forwarding
NEW QUESTION: 4
A transportation company uses IoT sensors attached to trucks to collect vehicle data for its global delivery fleet. The company currently sends the sensor data in small .csv files to Amazon S3. The files are then loaded into a 10-node Amazon Redshift cluster with two slices per node and queried using both Amazon Athena and Amazon Redshift. The company wants to optimize the files to reduce the cost of querying and also improve the speed of data loading into the Amazon Redshift cluster.
Which solution meets these requirements?
A. Use Amazon EMR to convert each .csv file to Apache Avro. COPY the files into Amazon Redshift and query the file with Athena from Amazon S3.
B. Use AWS Glue to convert all the files from .csv to a single large Apache Parquet file. COPY the file into Amazon Redshift and query the file with Athena from Amazon S3.
C. Use AWS Glue to convert the files from .csv to Apache Parquet to create 20 Parquet files. COPY the files into Amazon Redshift and query the files with Athena from Amazon S3.
D. Use AWS Glue to convert the files from .csv to a single large Apache ORC file. COPY the file into Amazon Redshift and query the file with Athena from Amazon S3.
Answer: C
