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NEW QUESTION: 1
A claimant may possibly recover money transferred under an illegal contract when
A. the contract is against public policy but not substantive law.
B. the legal portion of the contract can be severed from the illega portion.
C. both parties to the contract are equal in wrongdoing.
D. the illegality makes the contract voidable rather than void.
Answer: C
NEW QUESTION: 2
The Domino Configuration Tuner points to a remote server to pull configuration and updated design information from IBM. Which of the following outbound port access does your Domino server need to pull the update information?
A. HTTP
B. SSL
C. UDP
D. NRPC
Answer: A
NEW QUESTION: 3
You are creating a managed data warehouse solution on Microsoft Azure.
You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and load the data into a large table called FactSalesOrderDetails.
You need to configure Azure SQL Data Warehouse to receive the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create a master key on the database
Create a master key on the database. This is required to encrypt the credential secret.
Step 2: Create an external data source for Azure Blob storage
Create an external data source with CREATE EXTERNAL DATA SOURCE..
Step 3: Create an external file format to map parquet files.
Create an external file format with CREATE EXTERNAL FILE FORMAT.
FORMAT TYPE: Type of format in Hadoop (DELIMITEDTEXT, RCFILE, ORC, PARQUET).
Step 4: Create the external table FactSalesOrderDetails
To query the data in your Hadoop data source, you must define an external table to use in Transact-SQL queries.
Create an external table pointing to data stored in Azure storage with CREATE EXTERNAL TABLE.
Note: PolyBase is a technology that accesses and combines both non-relational and relational data, all from within SQL Server. It allows you to run queries on external data in Hadoop or Azure blob storage.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-configure-azure-blob-storage
NEW QUESTION: 4
Powerful Performance Presenters (PPP) is a performance attribution and evaluation firm for pension consulting firms and has recently been hired by Stober and Robertson to conduct a performance attribution analysis for TopTech. Tom Harrison and Wendy Powell are the principals for PPP. Although performance attribution has come under fire lately because of its shortcomings, Stober believes PPP provides a needed service to its clients. Robertson shares Stober's view of performance attribution analysis.
Stober and Robertson request that Harrison and Powell provide a discussion of performance measures.
During a conversation on complements to attribution analysis, Harrison notes the uses of the Treynor ratio.
He states that the Treynor ratio is appropriate only when the investor's portfolio is well diversified. Powell states that the Sharpe ratio and the Treynor ratio will typically yield the same performance rankings for a set of portfolios.
Stober requests that PPP do some performance attribution calculations on TopTech's managers. In order to facilitate the analysis, Stober provides the information in the following table:
Harrison states one of PPP's services is that it will determine if TopTech has chosen a valid benchmark.
Stoher volunteers that indeed his firm's benchmark possesses the properties of a valid benchmark and describes its composition. The benchmark has the following characteristics:
* It uses the top 10% of U.S. portfolio managers each year in each asset class as the benchmark for TopTech managers;
* TopTech is very careful to make sure that its managers are familiar with the securities in each benchmark asset class;
* The identities and weights of various securities in the TopTech benchmark are clearly defined.
During a presentation to Stober, Robertson, and other TopTech executives, Harrison and Powell describe how macro attribution analysis can decompose an entire fund's excess returns into various levels. In his introduction, Robertson delineates the six levels as net contributions, risk-free return, asset categories, benchmarks, investment managers, and allocations effects.
Robertson states that TopTech has performed impressively at the investment managers level tor three years in a row. Harrison and Powell then describe the levels in greater detail. Harrison describes the benchmark level as the difference between active managers' returns and their benchmark returns. Powell states that the investment managers' level reflects the returns to active management on the part of the fund's managers, weighted by the amount actually allocated to each manager.
At the request of Stober, Harrison and Powell explore alternatives to the benchmark TopTech is currently using for its small-cap value manager. After some investigation of the small-cap value manager's emphasis, Harrison and Powell derive four potential custom benchmarks and calculate two measures to evaluate the benchmarks: (1) the return to the manager's active management or A = portfolio return - benchmark return; and (2) the return to the manager's style or S = benchmark return - broad market return.
The following characteristics are presented below for each benchmark: (1) the beta between the benchmark and the small-cap value portfolio; (2) the tracking error (i.e., the standard deviation of A); (3) the turnover of the benchmark; and (4) the correlation between A and S.
Harrison and Powell evaluate the benchmarks based on the four measures.
Regarding their statements concerning macro attribution analysis, determine whether Harrison and Powell are correct or incorrect.
A. Only Harrison is correct.
B. Both Harrison and Powell are incorrect.
C. Only Powell is correct.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Harrison is incorrect. The benchmark level examines the difference between the return to custom benchmarks reflecting the managers' styles and the return to a broad asset category. Essentially the benchmark return measures the return to style bets resulting from the policy weighting in various styles.
Powell is incorrect. Although the investment managers level does reflect the return from active management, it uses the policy weights established for each manager. Returns due to differences between policy weights and the amounts actually allocated to each manager do not show up until the last level of macro attribution analysis (i.e., allocation effects). (Study Session 17, LOS 47.k)
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