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NEW QUESTION: 1
A company that provides wireless services needs a solution to store and analyze log files about user activities. Currently, log files are delivered daily to Amazon Linux on Amazon EC2 instance.
A batch script is run once a day to aggregate data used for analysis by a third-party tool. The data pushed to the third- party tool is used to generate a visualization for end users. The batch script is cumbersome to maintain, and it takes several hours to deliver the ever-increasing data volumes to the third-party tool. The company wants to lower costs, and is open to considering a new tool that minimizes development effort and lowers administrative overhead. The company wants to build a more agile solution that can store and perform the analysis in near-real time, with minimal overhead. The solution needs to be cost effective and scalable to meet the company's end-user base growth.
Which solution meets the company's requirements?
A. Use an Amazon Kinesis agent running on an EC2 instance to collect and send the data to an Amazon Kinesis Data Firehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data to Amazon S3. Use an AWS Lambda function to deliver the data from Amazon S3 to Amazon ES. Use Kibana to visualize the data.
B. Develop a Python script to failure the data from Amazon EC2 in real time and store the data in Amazon S3. Use a copy command to copy data from Amazon S3 to Amazon Redshift. Connect a business intelligence tool running on Amazon EC2 to Amazon Redshift and create the visualizations.
C. Use an in-memory caching application running on an Amazon EBS-optimized EC2 instance to capture the log data in near real-time. Install an Amazon ES cluster on the same EC2 instance to store the log files as they are delivered to Amazon EC2 in near real-time. Install a Kibana plugin to create the visualizations.
D. Use an Amazon Kinesis agent running on an EC2 instance in an Auto Scaling group to collect and send the data to an Amazon Kinesis Data Forehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data directly to Amazon ES. Use Kibana to visualize the data.
Answer: D
Explanation:
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html
A: Not real time.
C: Not sure if in-memory caching will help in terms of logs and not DB? Anyway installing ES cluster on the same EC2 instance means the ES is not managed and will increase overhead.
D: ES already has direct integration with Firehose, there is no need to transfer to S3 first unless it needs to retain the data for long period of time for analysis
https://aws.amazon.com/elasticsearch-service/?nc=sn&loc=1

NEW QUESTION: 2
Sie planen, eine Microsoft SQL Server 2014-Instanz zu installieren.
Die Instanz unterstützt eine Datenbank mit den folgenden Anforderungen:
Speichern Sie Excel-Arbeitsmappen im Dateisystem.
Greifen Sie über Transact-SQL auf die Arbeitsmappen zu.
Schließen Sie die Arbeitsmappen in Datenbanksicherungen ein.
Während der Installation müssen Sie sicherstellen, dass die Anforderungen erfüllt werden.
Welches Feature solltest du verwenden?
A. SQL Server Integration Services (SSIS)
B. FILESTREAM
C. OpenXML
D. Excel Services
Answer: B
Explanation:
FILESTREAM enables SQL Server-based applications to store unstructured data, such as documents and images, on the file system. Applications can leverage the rich streaming APIs and performance of the file system and at the same time maintain transactional consistency between the unstructured data and corresponding structured data.
References:https://docs.microsoft.com/en-us/sql/relational-databases/blob/filestream-sql-server

NEW QUESTION: 3
Note the following parameters settings in your database:

You issued the following command to increase the value of DB_8K_CACHE_SIZE:
SQL> ALTER SYSTEM SET DB_8K_CACHE_SIZE=140M;
What would happen?
A. It will be successful only if the memory is available from the auto tuned components
B. It will fail because an increase in DB_8K_CACHE_SIZE cannot be accommodated within SGA_TARGET
C. It will fail because an increase in the DB_8K_CACHE_SIZE cannot be accommodated within SGA_MAX_SIZE
D. It will fail because DB_8K_CACHE_SIZE parameter cannot be changed dynamically
Answer: C
Explanation:
Explanation/Reference:
Explanation:
This is an actually mathematic question.

NEW QUESTION: 4
DBAs are spending an enormous amount of time trying to identify and fix SQL statements they are suspect have regressed as a result of system changes not documented by the Operations Team. What would you implement to resolve this problem?
A. Oracle Database Backup & Recovery
B. Oracle SQL Developer, which helps develop and test the SQL prior to putting it into production
C. SQL Plan Manager which uses system histograms to extrapolate future SQL execution performance
D. SQL Performance Analyzer which helps predict and prevent SQL execution performance problems causedby environment changes
E. Complete Oracle Enterprise Manager suite
Answer: D