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NEW QUESTION: 1
Sie verwalten eine Microsoft SQL Server-Datenbank mit dem Namen Orders.
Benutzer berichten, dass bestimmte Vorgänge in Spitzenlastzeiten mehr Zeit in Anspruch nehmen als erwartet. Ihre erste Analyse legt nahe, dass Blockierung die Ursache ist.
Sie müssen mehr Daten erfassen, um festzustellen, welche Prozesse blockiert werden, und um die Grundursache zu identifizieren.
Was tun?
A. Verwenden Sie sp_configure, um den Schwellenwert für den blockierten Prozess festzulegen. Starten Sie eine Ablaufverfolgung mit SQL Server Profiler, um das Ereignis Blocked Process Report abzufangen.
B. Starten Sie eine Ablaufverfolgung mit SQL Server Profiler, um das Ereignis Lock: Deadlock abzufangen
C. Verwenden Sie den Systemmonitor, um das Ereignis "Wartezeiten sperren / s" abzufangen
D. Planen Sie einen SQL Agent-Job so, dass er alle 60 Sekunden ausgeführt wird, und fügen Sie die Ergebnisse der Ausführung der DMV sys.dm_os_wait_stats in eine Tabelle ein.
Answer: A
Explanation:
Erläuterung
Die Ereignisklasse "Sperre: Deadlock" wird erstellt, wenn ein Versuch, eine Sperre zu erwerben, abgebrochen wird, da der Versuch Teil eines Deadlocks war und als Deadlock-Opfer ausgewählt wurde.
Verwenden Sie die Ereignisklasse Lock: Deadlock, um zu überwachen, wann Deadlocks auftreten und welche Objekte betroffen sind. Anhand dieser Informationen können Sie feststellen, ob Deadlocks die Leistung Ihrer Anwendung erheblich beeinträchtigen.
Anschließend können Sie den Anwendungscode überprüfen, um festzustellen, ob Sie Änderungen vornehmen können, um Deadlocks zu minimieren.
Verweise: https://docs.microsoft.com/en-us/sql/relational-databases/event-classes/lock-deadlock-event-class
NEW QUESTION: 2
A large company has many business units. Each business unit has multiple AWS accounts for different purposes. The CIO of the company sees that each business unit has data that would be useful to share with other parts of the company. In total, there are about 10 PB of data that needs to be shared with users in 1,000 AWS accounts. The data is proprietary, so some of it should only be available to users with specific job types. Some of the data is used for throughput of intensive workloads, such as simulations. The number of accounts changes frequently because of new initiatives, acquisitions, and divestitures.
A Solutions Architect has been asked to design a system that will allow for sharing data for use in AWS with all of the employees in the company.
Which approach will allow for secure data sharing in scalable way?
A. Store the data in a single Amazon S3 bucket. Write a bucket policy that uses conditions to grant read and write access where appropriate, based on each user's business unit and job type. Determine the business unit with the AWS account accessing the bucket and the job type with a prefix in the IAM user's name. Users can access data by using IAM credentials from their business unit's AWS account with an S3 client.
B. Store the data in a series of Amazon S3 buckets. Create an AWS STS token vending machine that is integrated with the company's identity provider (IdP). When a user logs in, have the token vending machine attach an IAM policy that assumes the role that limits the user's access and/or upload only the data the user is authorized to access. Users can get credentials by authenticating to the token vending machine's website or API and then use those credentials with an S3 client.
C. Store the data in a series of Amazon S3 buckets. Create an application running in Amazon EC2 that is integrated with the company's identity provider (IdP) that authenticates users and allows them to download or upload data through the application. The application uses the business unit and job type information in the IdP to control what users can upload and download through the application. The users can access the data through the application's API.
D. Store the data in a single Amazon S3 bucket. Create an IAM role for every combination of job type and business unit that allows to appropriate read/write access based on object prefixes in the S3 bucket. The roles should have trust policies that allow the business unit's AWS accounts to assume their roles. Use IAM in each business unit's AWS account to prevent them from assuming roles for a different job type. Users get credentials to access the data by using AssumeRole from their business unit's AWS account. Users can then use those credentials with an S3 client.
Answer: A
NEW QUESTION: 3
技術者は、コンピューターをPXEブートします。次のうち、MOSTがコンピューターで実行する可能性が高い技術者はどれですか？
A. イメージの展開
B. インプレースアップグレード
C. システム修復
D. マルチブート構成
Answer: A