Questions and Answers: 166
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NEW QUESTION: 1
You have a number of image files to encode. In an Amazon SQS worker queue, you create an Amazon SQS message for each file specifying the command (jpeg-encode) and the location of the file in Amazon S3. Which of the following statements best describes the functionality of Amazon SQS?
A. Amazon SQS is a distributed queuing system that is optimized for horizontal scalability, not for single-threaded sending or receiving speeds.
B. Amazon SQS is a distributed queuing system that is optimized for vertical scalability and for single-threaded sending or receiving speeds.
C. Amazon SQS is a non-distributed queuing system.
D. Amazon SQS is for single-threaded sending or receiving speeds.
Answer: A
Explanation:
Amazon SQS is a distributed queuing system that is optimized for horizontal scalability, not for single-threaded sending or receiving speeds. A single client can send or receive Amazon SQS messages at a rate of about 5 to 50 messages per second. Higher receive performance can be achieved by requesting multiple messages (up to 10) in a single call. It may take several seconds before a message that has been to a queue is available to be received.
http://media.amazonwebservices.com/AWS_Storage_Options.pdf
NEW QUESTION: 2
which of the following things do you add to the whitelist for a mobile application to function correctly while offline?
A. field value used to populate a drop-down
B. data transforms invoked by custom javascript
C. data page used to source a drop-down list
D. Validate rules on an email address field.
Answer: B
NEW QUESTION: 3
Which configuration shows a pool-based source NAT without PAT?
A. [edit security nat source]
user@host# show
pool A {
address {
207.17.137.1/32 to 207.17.137.254/32;
}
overflow-pool interface;
}
rule-set 1A {
from zone trust;
to zone untrust;
rule 1 {
match {
source-address 10.1.10.0/24;
}
then {
source-nat pool A;
port no-translation;
}
}
}
B. [edit security nat source]
user@host# show
pool A {
address {
207.17.137.1/32 to 207.17.137.254/32;
}
port no-translation;
}
rule-set 1A {
from zone trust;
to zone untrust;
rule 1 {
match {
source-address 10.1.10.0/24;
}
then {
source-nat pool A;
}
}
}
C. [edit security nat source].
user@host# show
pool A {
address {
207.17.137.1/32 to 207.17.137.254/32;
}
overflow-pool interface;
}
rule-set 1A
{
from zone trust;
to zone untrust;
rule 1 {
match {
source-address 10.1.10.0/24;
}
then {
source-nat pool A; } } }
D. [edit security nat source]
user@host# show
pool A {
address {
207.17.137.1/32 to 207.17.137.254/32;
}
}
rule-set 1A {
from zone trust;
to zone untrust;
rule 1 {
match {
source-address 10.1.10.0/24;
}
then {
source-nat pool A;
port no-translation;
}
}
}
Answer: B
NEW QUESTION: 4
技術要件を満たすために、どのようにSALESDBを監視する必要がありますか?
A. sys.dm_os_wait_stats動的管理ビューを照会します。
B. SALESDBの監査情報を確認します。
C. sys.resource_stats動的管理ビューを照会します。
D. SALESDBのQuery Performance Insightsを確認します。
Answer: C
Explanation:
Scenario: Disk IO, CPU, and memory usage must be monitored for SALESDB
The sys.resource_stats returns historical data for CPU, IO, DTU consumption. There's one row every 5 minute for a database in an Azure logical SQL Server if there's a change in the metrics.
Incorrect Answers:
B: Query Performance Insight helps you to quickly identify what your longest running queries are, how they change over time, and what waits are affecting them.
C: sys.dm_os_wait_stats: specific types of wait times during query execution can indicate bottlenecks or stall points within the query. Similarly, high wait times, or wait counts server wide can indicate bottlenecks or hot spots in interaction query interactions within the server instance. For example, lock waits indicate data contention by queries; page IO latch waits indicate slow IO response times; page latch update waits indicate incorrect file layout.
References:
https://dataplatformlabs.com/monitoring-azure-sql-database-with-sys-resource_stats/