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NEW QUESTION: 1
Sie verwalten eine Microsoft SQL Server 2014-Instanz.
Die Instanz enthält eine Datenbank, die eine Einzelhandelsanwendung unterstützt. Die Anwendung generiert Hunderte von Transaktionen pro Sekunde und ist 24 Stunden am Tag und 7 Tage die Woche online.
Sie möchten eine Sicherungsstrategie für die Datenbank definieren. Sie müssen sicherstellen, dass die folgenden Anforderungen erfüllt sind:
Transaktionen im Wert von maximal 5 Minuten gehen verloren. Daten können mit minimalem Verwaltungsaufwand wiederhergestellt werden.
Was tun? Wähle alle, die zutreffen.
A. Erstellen Sie alle 5 Minuten eine LOG-Sicherung.
B. Erstellen Sie alle 4 Stunden ein DIFFERENTIAL-Datenbank-Backup.
C. Erstellen Sie alle 24 Stunden ein DIFFERENTIAL-Datenbank-Backup.
D. Erstellen Sie alle 24 Stunden eine vollständige Datenbanksicherung.
E. Konfigurieren Sie die Datenbank für die Verwendung des SIMPLE-Wiederherstellungsmodells.
F. Konfigurieren Sie die Datenbank für die Verwendung des vollständigen Wiederherstellungsmodells.
Answer: A,B,D,F
Explanation:
The full recovery model uses log backups to prevent data loss in the broadest range of failure scenarios, and backing and restoring the transaction log (log backups) is required. The advantage of using log backups is that they let you restore a database to any point of time that is contained within a log backup (point-in-time recovery). You can use a series of log backups to roll a database forward to any point in time that is contained in one of the log backups. Be aware that to minimize your restore time, you can supplement each full backup with a series of differential backups of the same data.
References:https://technet.microsoft.com/en-us/library/ms190217(v=sql.105).aspx

NEW QUESTION: 2
In a large MapReduce job with m mappers and r reducers, how many distinct copy operations will there be in the sort/shuffle phase?
A. r
B. m+r (i.e., m plus r)
C. mr (i.e., m to the power of r)
D. mxr (i.e., m multiplied by r)
E. m
Answer: D
Explanation:
A MapReduce job withm mappers and r reducers involves up to m*r distinct copy operations, since eachmapper may have intermediate output going to every reducer.

NEW QUESTION: 3
A company operating a website on AWS requires high levels of scalability, availability and performance. The company is running a Ruby on Rails application on Amazon EC2. It has a data tier on MySQL 5.6 on Amazon EC2 using 16 TB of Amazon EBS storage Amazon CloudFront is used to cache application content. The Operations team is reporting continuous and unexpected growth of EBS volumes assigned to the MySQL database. The Solutions Architect has been asked to design a highly scalable, highly available, and high-performing solution.
Which solution is the MOST cost-effective at scale?
A. Implement Multi-AZ and Auto Scaling for all EC2 instances in the current configuration. Ensure that all EC2 instances are purchased as reserved instances. Implement new elastic Amazon EBS volumes for the data tier.
B. Ensure that EC2 instances are right-sized and behind an Elastic Load Balancer. Implement Auto Scaling with EC2 instances. Ensure that Reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster.
Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow Aurora MySQL storage, as necessary. Ensure Multi-AZ architectures are implemented.
C. Design and implement the Docker-based containerized solution for the application using Amazon ECS.
Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow the Aurora MySQL storage, as necessary.
Ensure that Multi-AZ architectures are implemented.
D. Ensure that EC2 instances are right-sized and behind an Elastic Load Balancing load balancer.
Implement Auto Scaling with EC2 instances. Ensure that the reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Ensure that Multi-AZ architectures are implemented.
Answer: D
Explanation:
A: Not scalable.
B\D: Aurora will auto grow and does not need Lambda.
The minimum storage is 10GB. Based on your database usage, your Amazon Aurora storage will automatically grow, up to 64 TB, in 10GB increments with no impact to database performance.
There is no need to provision storage in advance.