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NEW QUESTION: 1
A company wants to host a scalable web application on AWS. The application will be accessed by users from different geographic regions of the world. Application users will be able to download and upload unique data up to gigabytes in size. The development team wants a cost-effective solution to minimize upload and download latency and maximize performance.
What should a solutions architect do to accomplish this?
A. Use Amazon EC2 with Auto Scaling and Amazon ElastiCache to host the application.
B. Use Amazon S3 with Transfer Acceleration to host the application.
C. Amazon EC2 with Auto Scaling and Amazon CloudFront to host the application.
D. Use Amazon S3 with CacheControl headers to host the application.
Answer: C
Explanation:
Reference:
Why Use Amazon S3 Transfer Acceleration?
You might want to use Transfer Acceleration on a bucket for various reasons, including the following:
You have customers that upload to a centralized bucket from all over the world.
You transfer gigabytes to terabytes of data on a regular basis across continents.
https://docs.aws.amazon.com/AmazonS3/latest/dev/transfer-acceleration.html How should I choose between S3 Transfer Acceleration and Amazon CloudFront's PUT/POST?
S3 Transfer Acceleration optimizes the TCP protocol and adds additional intelligence between the client and the S3 bucket, making S3 Transfer Acceleration a better choice if a higher throughput is desired. If you have objects that are smaller than 1GB or if the data set is less than 1GB in size, you should consider using Amazon CloudFront's PUT/POST commands for optimal performance.
https://aws.amazon.com/s3/faqs/#s3ta

NEW QUESTION: 2

NAMETYPEVALUE
optimizer_adaptive_reporting_onlybooleanFALSE
optimizer_capture_sql_plan_baselinesbooleanFALSE
optimizer_dynamic_samplinginteger2
optimizer_features_enablestring12.1.0.1

A. Option B
B. Option D
C. Option C
D. Option A
E. Option E
Answer: B,C,D
Explanation:
C: During the first execution of a SQL statement, an execution plan is generated as usual.
D: if multi-column statistics are not present for the relevant combination of columns, the
optimizer can fall back on cardinality feedback.
(not B)* Cardinality feedback. This feature, enabled by default in 11.2, is intended to
improve plans for repeated executions.
optimizer_dynamic_sampling optimizer_features_enable
Dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates.
Note:
* OPTIMIZER_DYNAMIC_SAMPLING controls the level of dynamic sampling performed by
the optimizer.
Range of values. 0 to 10
Cardinality feedback was introduced in Oracle Database 11gR2. The purpose of this
feature is to automatically improve plans for queries that are executed repeatedly, for which
the optimizer does not estimate cardinalities in the plan properly. The optimizer may
misestimate cardinalities for a variety of reasons, such as missing or inaccurate statistics,
or complex predicates. Whatever the reason for the misestimate, cardinality feedback may
be able to help.

NEW QUESTION: 3
Which of the following is NOT true regarding software unit testing?
A. Testing should check for out-of-range values and other bounds conditions.
B. The test data is part of the specifications.
C. Correct test output results should be developed and known beforehand.
D. Live or actual field data is recommended for use in the testing procedures.
Answer: D
Explanation:
Live or actual field data are NOT recommended
for use in testing because they do not thoroughly test all normal
and abnormal situations and the test results are not known
beforehand. The other answers are true of testing.