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APPIAN SENIOR DEVELOPER EXAM QUESTIONS AND ANSWERS 100% VERIFIED

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APPIAN SENIOR DEVELOPER EXAM QUESTIONS AND ANSWERS 100% VERIFIEDAPPIAN SENIOR DEVELOPER EXAM QUESTIONS AND ANSWERS 100% VERIFIED How should you scale a system with a high load average in ? - ANSWER-Add Hardware - Usually CPU or RAM (vertical scaling) How should you scale a system with high Java work queue size in the engine performance logs? - ANSWER-Add Application Servers (horizontal scaling) How should you scale a system with high other time in engine call summary log? - ANSWER-Add Engine Replicas (horizontal scaling via read-only replicas) How should you scale a system with low idle time in the engine performance logs? - ANSWER-Add Execution and Analytics Shards (horizontal scaling via partitioning/sharding)

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APPIAN SENIOR DEVELOPER EXAM
QUESTIONS AND ANSWERS 100%
VERIFIED

How should you scale a system with a high load average in system.csv? - ANSWER-
Add Hardware - Usually CPU or RAM (vertical scaling)

How should you scale a system with high Java work queue size in the engine
performance logs? - ANSWER-Add Application Servers (horizontal scaling)

How should you scale a system with high other time in engine call summary log? -
ANSWER-Add Engine Replicas (horizontal scaling via read-only replicas)

How should you scale a system with low idle time in the engine performance logs? -
ANSWER-Add Execution and Analytics Shards (horizontal scaling via
partitioning/sharding)

How should you scale a system with high execute time in
perf_monitor_rdbmd_slow.csv? - ANSWER-Optimize Your Queries and Applications
and External Data Sources

What are the key differences between a summary log and a detail log? - ANSWER-
Although both are enabled by default, summary logs are written to once every five
minutes and aggregate all the relevant events since the last line was logged into one set
set of metrics. Also one line is written per update, even if there are no events in the
given interval.

Detail logs are written to once every hour and they provide fine-grain aggregation by
type of event. Multiple lines can be written per update, but will only be written if events
occurred.

What are some key factors developers should take into account because they will affect
the memory footprint of a PROCESS? - ANSWER-All factors directly relate to
completion time. Short lived processes are best practice.

1) Size of process model (# of nodes)
2) Size and number of process variable
3) Looping
4) Number of active process instances

, What are the 8 best practices used to improve messaging efficiency? - ANSWER-1)
Use Conditional Filters
2) Target Processes by ID
3) Allow Public Events
4) Avoid Cascading Messages
5) Avoid Message Loops
6) Minimize the Number of Listeners
7) Pass Minimal Amounts of Data
8) Avoid Enabling the Activate Message Event

What is a maintenance window? - ANSWER-The Maintenance Window page allows you
to set a period of time to deploy application updates to your environment and write a
message to display in a banner at the top of your site. During maintenance windows, all
users except for system administrators will be logged out of the site, and a banner will
display at the top of your site's login page for web and mobile.

What are the three types of connected systems? - ANSWER-1) HTTP and OpenAPI
2) Pre-Built
3) Data Source

What are HTTP and OpenAPI connected systems used for? - ANSWER-Use these
connected systems to generically connect to most API's.

What are Pre-Built connected systems used for? - ANSWER-Use these connected
systems to connect to some of the most common integrations. These integrations
include:
1) Amazon Machine Learning
2) Appian RPA
3) Blue Prism
4) DocuSign
5) Google Cloud Natural Language
6) Google Cloud Translation
7) Google Cloud Vision
8) Google Drive
9) Microsoft Azure LUIS
10) Microsoft Dynamics 365
11) Salesforce
12) Sharepoint

What are Data Source connected systems used for? - ANSWER-Use these connected
systems to connect to Appian- supported databases. These databases include:
1) DB2 Data Source
2) MariaDB Data Source
3) MySQL Data Source
4) Oracle Data Source
5) PostgreSQL Data Source

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