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S1000-013

Exam Code: S1000-013

Exam Name: IBM Cloud Satellite Specialty v1

Version: V22.75

Q & A: 580 Questions and Answers

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NEW QUESTION: 1
Maurice Taylor, CFA, FRM, is responsible for managing risk in his firm's commodity portfolios. Taylor has extensive experience in the risk management field and as a result has been appointed the task of mentoring entry-level employees. Steven Jacobs is a newly hired Financial Analyst who has been assigned to research the company's risk management process. To verify the accuracy of his findings he consults Taylor. Taylor agrees to thoroughly review Jacobs* findings and volunteers to contribute his knowledge to enhance any part of the report that mentions Taylor's department.
A week later Jacobs, submits his report to his supervisor without reading Taylor's suggestions. Some excerpts from the report are as follows;
* "Many portfolio managers use a ratio that compares the average alpha to the standard deviation of alpha to measure risk-adjusted performance. This ratio can be used to rank their ability to generate excess returns on a consistent basis."
"The main difference between risk governance and risk budgeting is that risk governance is concerned with policies and standards, whereas risk budgeting is concerned with allocating risk."
* "In an ERM system individual portfolio managers are charged with measuring, managing, and monitoring their portfolio risk as well as determining their optimal amount of capital at risk. With this information upper management gains a better overall picture of the firm's risk."
* "The two general categories of risk are financial and non-financial risks. Financial risks include market risk and credit risk. Non-financial risks include settlement risk, regulatory risk, model risk, liquidity risk, operations risk, and political risk." Jacobs' supervisor thanks him for the report and assigns him the next task of researching the firm's VAR calculation methodologies. His supervisor is wondering if the firm should switch to the Monte Carlo Method from the Historical Method. Jacobs again decides to consult Taylor for his expertise. Taylor agrees that using the Monte Carlo Method would be useful since it incorporates returns distributions rather than single point estimates of risk and return- This may be appropriate for Taylor's portfolios since commodity returns can exhibit skewed distributions. Taylor, however, informs Jacobs that there are also advantages to using historical VAR including that it is based on modern portfolio theory (MPT).
Jacobs uses the firm's small cap value portfolio to illustrate the calculation of VAR. The value of the portfolio is $140 million and it has an annual expected return of 12.10%. The annual standard deviation of returns is 18.20%. Assuming a standard normal distribution, 5% of the potential portfolio values are more than 1.65 standard deviations below the expected return.
Jacobs completes his research report on VAR by adding an appendix section on extensions of VAR. He states that one extension that can be particularly valuable in risk management measures the impact of a single asset on the portfolio VAR. This measure captures the effects of the correlations of the individual assets on the overall portfolio VAR.
Assuming its returns are normally distributed and there are 250 trading days in the year, the daily VAR Jacobs will calculate for the small cap value portfolio is closest to:
A. $2.59 million.
B. $25.10 million.
C. $27.88 million.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
To calculate the daily VAR, we must first calculate a daily expected return and daily standard deviation.
Note that to obtain a daily standard deviation from an annual standard deviation, we must divide the annual standard deviation by the square root of 250. We then calculate a daily percent VAR by subtracting 1.65 times the daily standard deviation from the daily expected return. The daily dollar VAR is calculated last using the fund's asset base:
Daily expected return = 12.1% / 250 = 0.0484%Daily standard deviation = 18.2% / (250)0.5 -1.1511%Daily percent VAR = 0.0484% - (1.65 x 1.1511%) = -1.8509%Daily dollar VAR = $140 x 1.8509% = $2.59 million.
(Study Session 14, LOS 40.e)

NEW QUESTION: 2
MFAサーバーブレードから、展示に示されているように[ユーザーのブロック/ブロック解除]ブレードを開きます。

AlexWがブロックされる原因は何ですか?
A. 管理者がユーザーを手動でブロックしました
B. ユーザーアカウントのパスワードの有効期限が切れています
C. ユーザーが10分以内に間違ったPINを入力した
D. 追加認証のプロンプトが表示されたときにユーザーが不正警告を報告した
Answer: D

NEW QUESTION: 3
データウェアハウスに支払いを行ってデータを分析する代わりのソリューションとしてAmazonRedshiftをクライアントに推奨した後、クライアントは、Redshiftを推奨する理由を説明するように求めます。次のうちどれが彼の要求に対する合理的な応答でしょうか?
A. レポートおよび分析処理がOLTPワークロードのパフォーマンスに干渉するのを防ぎます。
B. 独自のデータウェアハウスを実行し、セットアップ、耐久性、監視、スケーリング、およびパッチ適用を処理するという管理上の負担はありません。
C. リストされているすべての回答は彼の質問に対する合理的な回答です
D. データとクエリの複雑さが増すにつれて、大規模で高いパフォーマンスを発揮します。
Answer: C
Explanation:
Amazon Redshift delivers fast query performance by using columnar storage technology to improve I/O efficiency and parallelizing queries across multiple nodes. Redshift uses standard PostgreSQL JDBC and ODBC drivers, allowing you to use a wide range of familiar SQL clients.
Data load speed scales linearly with cluster size, with integrations to Amazon S3, Amazon DynamoDB, Amazon Elastic MapReduce, Amazon Kinesis or any SSH-enabled host. AWS recommends Amazon Redshift for customers who have a combination of needs, such as:
High performance at scale as data and query complexity grows Desire to prevent reporting and analytic processing from interfering with the performance of OLTP workloads Large volumes of structured data to persist and query using standard SQL and existing BI tools Desire to the administrative burden of running one's own data warehouse and dealing with setup, durability, monitoring, scaling and patching Reference: https://aws.amazon.com/running_databases/#redshift_anchor

NEW QUESTION: 4
Sie haben ein Microsoft 36S-Abonnement.
Ihr Unternehmen kauft eine neue Finanzanwendung mit dem Namen App1.
In der Cloud-Erkennung in Microsoft Cloud App Security rufen Sie die Seite Erkannte Apps auf und stellen fest, dass viele Anwendungen eine niedrige Punktzahl aufweisen, weil ihnen Informationen zur Domainregistrierung und zur Beliebtheit der Verbraucher fehlen.
Sie müssen verhindern, dass die fehlenden Informationen die Punktzahl beeinflussen.
Was sollten Sie in den Cloud Discover-Einstellungen konfigurieren?
A. Bewertungsmetriken
B. App-Tags
C. Organisationsdetails
D. Standardverhalten
Answer: B
Explanation:
Explanation
References:
References:
https://docs.microsoft.com/en-us/cloud-app-security/discovered-app-queries

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