Importing an AD group into Tableau Server syncs user management-let’s analyze the process and options:
* AD Group Import Process:
* How: In the UI (Users > Groups > Add Group > Active Directory), enter the AD group name, set a site role, and sync.
* Behavior:
* Existing Users: If a user is already in Tableau Server, their site role remains unchanged unless manually adjusted-sync applies the minimum role only if it upgrades access.
* New Users: Added to Tableau with the site role specified during import.
* Config: Requires AD authentication enabled in TSM.
* Option D (New users created are assigned the site role specified during import): Correct.
* Details: When importing (e.g., “SalesTeam” group, site role: Explorer):
* New users get Explorer.
* Existing users keep their role unless it’s below Explorer (e.g., Unlicensed # Explorer).
* Why: Ensures consistent onboarding-new users align with the group’s intended access.
* Option A (Existing users’ roles change to match import): Incorrect.
* Why: Existing roles persist unless lower than the minimum-e.g., Viewer stays Viewer if import sets Explorer, but Unlicensed upgrades. Not a full overwrite.
* Option B (Requires a .csv file): Incorrect.
* Why: AD import uses live sync via LDAP-no .csv needed (that’s for local auth imports).
* Option C (Change group name during import): Incorrect.
* Why: The AD group name is fixed-you can’t rename it in Tableau during sync (it mirrors AD).
Post-import renaming is possible but not part of the process.
Why This Matters: Accurate AD sync ensures seamless user management-missteps can disrupt access or licensing.
Reference: Tableau Server Documentation – “Synchronize Active Directory Groups” (https://help.tableau.com
/current/server/en-us/groups_sync.htm).

Tableau Server uses a PostgreSQL database as its repository to store metadata, user information, and permissions. In a high-availability (HA) setup with multiple nodes, there are typically two repository instances: one active and one passive. The “preferred active repository” refers to designating which repository instance should take priority as the active one. This is managed through Tableau Services Manager (TSM).
The correct method to set the preferred active repository is by using the tsm configuration set command.
Specifically, you would use a command like:
tsm configuration set -k pgsql.preferred_host -v <hostname>
This command allows an administrator to specify the preferred host for the active repository, ensuring control over which node takes precedence in an HA environment.
Option B (tabcmd set command) is incorrect because tabcmd is a command-line utility primarily used for administrative tasks like managing users, groups, and content (e.g., publishing workbooks), not for configuring server topology or repository settings.
Option C (TSM browser client’s Maintenance page) is incorrect because the Maintenance page in the TSM web interface is used for tasks like backups, restores, and cleanup, but it does not provide an option to set the preferred active repository.
Option D (TSM browser client’s Configuration Topology page) is partially relevant since the Topology page displays the current configuration of services across nodes, including the repository. However, it does not allow direct modification of the preferred active repository; this must be done via the tsm command line.
Reference: Tableau Server Documentation – “Configure Tableau Server Repository” (https://help.tableau.com
/current/server/en-us/repository.htm) and “TSM Command Line Reference” (https://help.tableau.com/current
/server/en-us/cli_configuration_set.htm).

Tableau Server uses internal secrets (tokens) for secure communication between its processes (e.g., Repository, File Store). These are automatically generated during installation and can be regenerated if compromised or for security maintenance. The command to update these is:
* tsm security regenerate-internal-tokens: This regenerates the internal security tokens, ensuring all processes use the new tokens after a restart.
* Option C (tsm security regenerate-internal-tokens): Correct. This is the documented command for updating internal secrets.
* Option A (tsm data-access caching set -r 1): Incorrect. This command configures caching behavior, not security tokens.
* Option B (tsm licenses refresh): Incorrect. This refreshes license data, unrelated to internal secrets.
* Option D (tsm security validate-asset-keys): Incorrect. This validates encryption keys for assets, not internal tokens.
Reference: Tableau Server Documentation – “Regenerate Internal Tokens” (https://help.tableau.com/current/server/en-us/cli_security.htm#regenerate-internal-tokens).

Tableau Server’s user-based licensing (Creator, Explorer, Viewer) ties licenses to individual users-let’s determine compatible authentication methods:
* User-Based Licensing:
* Licenses are assigned per user, tracked by username.
* Authentication determines how users log in-must integrate with licensing.
* Option A (Local authentication): Correct.
* Details: Users are managed in Tableau Server’s internal database-username/password set manually or via import.
* Why: Directly ties to user accounts, fully compatible with licensing.
* Option C (Trusted authentication): Correct.
* Details: Allows external apps to authenticate users via tickets (e.g., /trusted/<ticket>).
* Why: Maps to Tableau usernames, integrating with licensing-common for embedded analytics.
* Config: Trusted IPs or credentials set in TSM.
* Option D (Active Directory): Correct.
* Details: Uses AD for authentication (LDAP or Kerberos)-users sync to Tableau Server.
* Why: AD usernames align with licensing-supports SSO and user management.
* Config: Enable via tsm authentication active-directory configure.
* Option B (Reliance authentication): Incorrect.
* Why: Not a recognized Tableau authentication method-likely a typo (e.g., for “Resilience” or misheard term). No such feature exists.
Why This Matters: Authentication flexibility ensures user-based licensing fits diverse IT environments- critical for adoption.
Reference: Tableau Server Documentation – “Authentication” (https://help.tableau.com/current/server/en-us
/auth_overview.htm), “Licensing Overview” (https://help.tableau.com/current/server/en-us/license_usage.
htm).

Tableau Server is designed for production environments and is supported only on server-class operating systems, not desktop operating systems. As of the latest documentation (aligned with knowledge up to March
21, 2025), the supported operating systems for Tableau Server on Windows are:
Windows Server 2016
Windows Server 2019
Windows Server 2022 (added in later versions, but relevant as of 2025).
Desktop operating systems like Windows 7 or Windows 10 are not supported for production installations due to stability, security, and performance requirements.
Option A (Windows 7): Incorrect. Windows 7 is a desktop OS and is not supported for Tableau Server. It’s also end-of-life as of January 2020.
Option B (Windows 10): Incorrect. Windows 10 is a desktop OS and not supported for production Tableau Server deployments, though it may be used for testing in non-production scenarios.
Option C (Windows Server 2019): Correct. This is a supported server OS for Tableau Server.
Option D (Windows Server 2016): Correct. This is also a supported server OS for Tableau Server.
Reference: Tableau Server Documentation – “System Requirements for Tableau Server” (https://help.tableau.
com/current/server/en-us/requirements.htm).

Tableau Server supports multiple authentication methods, including Local Authentication, Active Directory, Kerberos, SAML, and OpenID Connect. OpenID Connect (OIDC) is an identity layer built on OAuth 2.0, commonly used for single sign-on (SSO). In Tableau Server, OIDC is implemented as a variant of SAML (Security Assertion Markup Language) authentication because both are SSO protocols managed through the same configuration workflow.
To use OpenID Connect:
* Configure Tableau Server for SAML/SSO.
* Provide an OIDC-compatible identity provider (IdP) configuration (e.g., Google, Okta).
* Set up the IdP metadata and certificates in TSM.
* Option D (SAML): Correct. Tableau Server treats OIDC as a subset of its SAML authentication framework, so you configure it under the SAML settings in TSM.
* Option A (Local Authentication): Incorrect. Local Authentication uses Tableau’s internal user database, not an external SSO protocol like OIDC.
* Option B (Kerberos): Incorrect. Kerberos is a network authentication protocol for Windows environments, unrelated to OIDC.
* Option C (Active Directory): Incorrect. AD uses LDAP or Kerberos, not OIDC, for authentication.
Reference: Tableau Server Documentation – “Configure SAML and OpenID Connect” (https://help.tableau.
com/current/server/en-us/saml_config.htm).

In Tableau Server, schedules manage tasks such as extract refreshes and subscriptions. The execution mode of a schedule determines how tasks within that schedule are processed by the Backgrounder process:
* Parallel: Tasks run simultaneously (up to the Backgrounder’s capacity), which is the default setting.
* Serial: Tasks run one-at-a-time in sequence, ensuring that one task completes before the next begins.
To ensure tasks associated with a particular schedule run one-at-a-time, you must configure the schedule’s execution mode to Serial. This is done in the Tableau Server web interface:
* Go to Schedules.
* Select the schedule, click Actions > Edit Schedule.
* Under Execution, choose Serial instead of Parallel.
* Option A (Set Execution to Serial): Correct. This directly addresses the requirement by forcing tasks to execute sequentially.
* Option B (Set Default priority to 0): Incorrect. Priority (1-100) determines the order of task execution across all schedules, not whether tasks run one-at-a-time within a single schedule. Also, 0 is not a valid priority value (minimum is 1).
* Option C (Set Frequency to Hourly): Incorrect. Frequency (e.g., hourly, daily) controls when the schedule runs, not how tasks within it are executed.
* Option D (Set Execution to Parallel): Incorrect. Parallel execution allows tasks to run simultaneously, which contradicts the requirement.
Reference: Tableau Server Documentation – “Create or Modify a Schedule” (https://help.tableau.com/current
/server/en-us/schedule_manage_create.htm).

The Backgrounder process in Tableau Server handles tasks like extract refreshes and subscriptions-let’s explore its concurrency:
* Backgrounder Behavior:
* Each instance is single-threaded for task execution-one task at a time per Backgrounder.
* Multiple Backgrounders (e.g., in multi-node setups) increase parallelism, but a single Backgrounder is limited to 1 concurrent task.
* Queue: Additional tasks wait in the queue, prioritized by their priority (1-100).
* Option A (One): Correct.
* Details: A single Backgrounder executes one task (e.g., an extract refresh) until completion before starting the next.
* Config: Add more Backgrounders via TSM (tsm topology set-process -n node1 -pr backgrounder
-c 2) for more concurrency.
* Option B (Two): Incorrect.
* Why: Not natively supported-a single Backgrounder doesn’t multi-thread tasks.
* Option C (Three): Incorrect.
* Why: Exceeds the single-threaded design.
* Option D (Unlimited): Incorrect.
* Why: Concurrency is fixed at 1 per instance-resources affect queue processing speed, not simultaneous tasks.
Why This Matters: Understanding Backgrounder limits guides scaling-more instances mean more parallel tasks, critical for heavy workloads.
Reference: Tableau Server Documentation – “Backgrounder Process” (https://help.tableau.com/current/server
/en-us/processes.htm#backgrounder).

In Tableau Server, schedules manage tasks like extract refreshes and subscriptions. Each task within a schedule has a priority value (ranging from 1 to 100, where 1 is the highest priority and 100 is the lowest).
Tasks with higher priority (lower numbers) are executed before tasks with lower priority (higher numbers) when queued by the Backgrounder process. If the Backgrounder is overloaded or delayed, lower-priority tasks may not complete on time, leading to inconsistent refreshes.
In this scenario:
The 7:00 AM Extract Refresh task is critical for the CEO’s workbook, but the data is only refreshed 70% of the time by 9:00 AM.
The server has a single node, meaning a single Backgrounder process handles all tasks. With five schedules (some overlapping in the early morning), contention or delays could prevent the 7:00 AM task from completing reliably before 9:00 AM.
Option C (Set the priority of this task to 1): Correct. Setting the task priority to 1 ensures it has the highest priority among all queued tasks. This increases the likelihood that the Backgrounder executes it promptly at 7:
00 AM, completing the refresh before the CEO accesses the workbook at 9:00 AM. You can adjust task priority in the Tableau Server web interface under Schedules > Tasks > Edit Priority.
Option A (Set the default priority of this schedule to 50): Incorrect. The default priority for schedules is already 50, and this option refers to the schedule’s default, not the specific task. It wouldn’t address the contention issue.
Option B (Set the priority for all other tasks to 50): Incorrect. This keeps all tasks at the default priority (50), leaving the 7:00 AM task without a relative advantage. It doesn’t prioritize the CEO’s task.
Option D (Set the priority of this task to 100): Incorrect. Priority 100 is the lowest, which would deprioritize the task, making the refresh even less reliable.
Reference: Tableau Server Documentation – “Manage Schedules and Tasks” (https://help.tableau.com/current
/server/en-us/schedule_manage.htm).

Subscriptions in Tableau Server deliver workbook views to users via email on a schedule. Group subscriptions apply to all group members-let’s unpack this:
* Group Subscription Mechanics:
* Created via Workbooks > Actions > Subscribe > Select Group.
* Delivers content to all users in the group at the time the subscription runs (e.g., daily PDF).
* Dynamic: Membership updates (additions/removals) are reflected automatically on the next run.
* Option C (The subscription updates automatically to include the new user): Correct.
* Details: When you add a user to the group (e.g., via Users > Groups > Add Users), Tableau Server’s subscription process queries the group’s current membership at runtime. The new user receives the subscription on the next scheduled delivery-no manual action needed.
* Example: Group “Sales” has a 9 AM subscription. Add a user at 8 AM-they get the email tomorrow at 9 AM.
* Option A (Admin receives notice to approve/deny): Incorrect.
* Why: No approval workflow exists for group membership changes in subscriptions-it’s automatic.
* Option B (Creator must manually edit): Incorrect.
* Why: Subscriptions are tied to the group, not a static user list-manual edits aren’t required for membership changes.
* Option D (Only members at creation time): Incorrect.
* Why: This would be true for individual subscriptions (static list), but group subscriptions are dynamic.
Why This Matters: Dynamic group subscriptions streamline content delivery as teams evolve, reducing admin overhead.
Reference: Tableau Server Documentation – “Manage Subscriptions” (https://help.tableau.com/current/server
/en-us/subscribe.htm).

Tableau Server uses internal secrets (tokens) for secure communication between its processes (e.g., Repository, File Store). These are automatically generated during installation and can be regenerated if compromised or for security maintenance. The command to update these is:
* tsm security regenerate-internal-tokens: This regenerates the internal security tokens, ensuring all processes use the new tokens after a restart.
* Option C (tsm security regenerate-internal-tokens): Correct. This is the documented command for updating internal secrets.
* Option A (tsm data-access caching set -r 1): Incorrect. This command configures caching behavior, not security tokens.
* Option B (tsm licenses refresh): Incorrect. This refreshes license data, unrelated to internal secrets.
* Option D (tsm security validate-asset-keys): Incorrect. This validates encryption keys for assets, not internal tokens.
Reference: Tableau Server Documentation – “Regenerate Internal Tokens” (https://help.tableau.com/current
/server/en-us/cli_security.htm#regenerate-internal-tokens).

In Tableau Server, projects are containers for organizing and securing content. They help manage permissions and structure content hierarchically. Let’s define what can be contained:
* Workbooks: Visualizations and dashboards published to the Server.
* Data Sources: Published connections or extracts reusable across workbooks.
* Nested Projects: Sub-projects within a parent project, introduced in later versions (e.g., 2018.2) for deeper organization.
* Option B (Workbooks): Correct. Workbooks are the primary content type in projects, containing views and dashboards.
* Option C (Nested Projects): Correct. Nested projects allow hierarchical structuring (e.g., a “Sales” project with “Q1” and “Q2” sub-projects), with inherited or custom permissions.
* Option D (Data Sources): Correct. Published data sources reside in projects, providing reusable data connections.
* Option A (Groups): Incorrect. Groups are collections of users managed at the site or server level, not stored within projects. Projects contain content, not user entities.
Why This Matters: Projects are key to content governance-knowing what they hold helps administrators organize and secure assets effectively.
Reference: Tableau Server Documentation – “Projects” (https://help.tableau.com/current/server/en-us/projects.
htm).

Installing Tableau Server on Windows requires an account with sufficient privileges to configure services, write to the file system, and manage registry settings. Let’s analyze this in depth:
* Installation Requirements:
* The installer creates services (e.g., Tableau Server Gateway), writes to Program Files and ProgramData, and configures TSM.
* It needs local administrative privileges on the machine to perform these tasks.
* Post-install, a “Run As” account can be set for services (e.g., NT
AUTHORITY\NetworkService), but this is separate from the install account.
* Option C (An account in the local administrator group): Correct.
* Why: The account must be in the local Administrators group to:
* Install software (UAC elevation).
* Configure services and ports.
* Write to protected directories (e.g., C:\Program Files\Tableau).
* Examples: A local admin (e.g., Administrator) or a domain user added to the Administrators group (e.g., DOMAIN\AdminUser).
* Process: Log in as this account, run the installer, and provide TSM admin credentials during setup.
* Option A (A local user account): Incorrect.
* A standard local user (not in Administrators) lacks permissions-installation would fail with
“Access Denied” errors.
* Option B (A domain user account): Incorrect unless clarified.
* A domain user without local admin rights can’t install. If it’s in the Administrators group, it qualifies, but C is more specific.
* Option D (NT AUTHORITY\NetworkService): Incorrect.
* This is a built-in service account for running services (default “Run As” post-install), not for executing the installer-an interactive user account is required.
Why This Matters: Using the right account prevents install failures and ensures secure configuration- critical for production setups.
Reference: Tableau Server Documentation – “Install and Configure Tableau Server” (https://help.tableau.com
/current/server/en-us/install_config.htm).

Tableau Server relies on several processes to function, each with a specific role. The Repository process (powered by PostgreSQL) serves as the database for metadata, storing critical information such as:
* User and group details.
* Permissions and site configurations.
* Workbook and data source metadata (e.g., schedules, subscriptions).
* Option B (Repository): Correct. The Repository is the centralized database that holds all metadata, making it the backbone of Tableau Server’s content management. There are typically two instances in an HA setup (one active, one passive), monitored by the Cluster Controller.
* Option A (Data Engine): Incorrect. The Data Engine manages in-memory data processing and extract storage (e.g., .hyper files), not metadata. It’s separate from the Repository.
* Option C (Backgrounder): Incorrect. The Backgrounder handles background tasks like extract refreshes and subscriptions, but it doesn’t store metadata-it interacts with the Repository to retrieve task details.
* Option D (File Store): Incorrect. The File Store manages physical extract files and workbook assets, not metadata, which is stored in the Repository.
Reference: Tableau Server Documentation – “Tableau Server Processes” (https://help.tableau.com/current
/server/en-us/processes.htm).

Tableau Server has specific hardware requirements for production environments to ensure stability and performance. The minimum recommended free disk space for a production installation is 50 GB. This accounts for:
* The installation itself (approximately 1-2 GB).
* Space for log files, temporary files, and extracts managed by the File Store and Data Engine.
* Room for backups and operational overhead.
The full minimum hardware recommendations for a single-node production deployment are:
* 8 CPU cores (2.0 GHz or faster).
* 32 GB RAM.
* 50 GB free disk space (on the system drive, typically C: on Windows).
* Option A (32 GB): Incorrect. While 32 GB is the minimum RAM requirement, it’s insufficient for disk space in production.
* Option B (50 GB): Correct. This matches Tableau’s official recommendation for production environments.
* Option C (15 GB): Incorrect. 15 GB is the minimum for a non-production or trial installation, not production.
* Option D (64 GB): Incorrect. While 64 GB exceeds the minimum, it’s not the specified requirement-
50 GB is sufficient.
Reference: Tableau Server Documentation – “Minimum Hardware Recommendations” (https://help.tableau.
com/current/server/en-us/requirements.htm).

Deleting a user in Tableau Server involves handling their owned content (workbooks, data sources)-let’s analyze the process:
* Deletion Rules:
* Ownership Check: Tableau prevents deletion if the user owns content to avoid orphaning it.
* Action: Instead of deleting, the user’s site role is set to Unlicensed, retaining their account and content ownership.
* Resolution: An admin must reassign ownership (e.g., via Users > Actions > Change Owner) before deletion.
* Option D (User switched to Unlicensed and NOT deleted): Correct.
* Details: Attempting deletion (e.g., Users > Select User > Actions > Delete) triggers a check. If content exists, the user becomes Unlicensed-still in the system but unable to log in.
* Why: Protects data integrity-content remains accessible for reassignment.
* Option A (Deleted, content to server admin): Incorrect.
* Why: No automatic reassignment to the server admin-manual action is required first.
* Option B (Deleted, content to project leader): Incorrect.
* Why: Project leaders don’t automatically inherit content-no such mechanism exists.
* Option C (User and content deleted): Incorrect.
* Why: Tableau avoids deleting content with the user-too destructive without explicit intent.
Why This Matters: This safeguard prevents accidental data loss, ensuring admins manage ownership transitions deliberately.
Reference: Tableau Server Documentation – “Delete Users” (https://help.tableau.com/current/server/en-us
/users_delete.htm).

Tableau Services Manager (TSM) is the administrative tool for managing Tableau Server’s configuration, processes, and topology. To log in to TSM (via the web UI at https://<server>:8850 or CLI), you need:
* TSM administrator credentials: These are distinct from site roles and are set during installation or reset via tsm reset.
* Local administrative rights: On Windows, the account used to access TSM must be in the local Administrators group on the initial node, as TSM interacts with system-level services.
In a test cluster, the engineer’s inability to log in suggests they lack either the correct TSM credentials or sufficient OS-level permissions. Since the question focuses on a Windows environment and “initial node,” the most immediate requirement is local administrative rights to run TSM commands or access the UI.
* Option C (An account with administrative rights to the computer): Correct. The engineer must use an account in the local Administrators group on the initial node to authenticate to TSM. After that, they’ ll need the TSM admin username/password set during installation.
* Option A (An account with a Creator site role): Incorrect. Site roles (e.g., Creator) apply to content access within Tableau Server, not TSM administration.
* Option B (An account with a Site Administrator role): Incorrect. Site Administrators manage site content, not server-level TSM functions.
* Option D (An account for the Tableau Server administrator): Partially correct but incomplete. This likely refers to the TSM admin account, but without local admin rights on the machine, login will fail.
Option C is more precise.
Reference: Tableau Server Documentation – “TSM Authentication” (https://help.tableau.com/current/server
/en-us/tsm_overview.htm#authentication).

Tableau Desktop and Tableau Server have versioning considerations when publishing content, particularly regarding compatibility between older Desktop versions (e.g., 10.5) and newer Server versions (e.g., 2020.1).
Let’s break this down step-by-step:
* Version Context: Tableau Desktop 10.5 was released in 2017 and used the .tde (Tableau Data Extract) format for extracts. Tableau Server 2020.1, released in 2020, introduced the .hyper extract format (starting with version 10.5, but fully standardized later). When publishing from an older Desktop version to a newer Server version, Tableau ensures backward compatibility but may upgrade certain components.
* Publishing Process: With a Creator site role and Publisher permissions, you have the rights to publish workbooks to the specified project. Tableau Server accepts workbooks from older Desktop versions (e.
g., 10.5) and upgrades them to the current Server version (2020.1) during publishing. This process is seamless for the workbook itself, but extracts require special handling.
* Extract Handling: If the workbook contains embedded .tde extracts (stored within the .twb or .twbx file), Tableau Server 2020.1 converts these to .hyper format upon publishing. This conversion is necessary because .hyper replaced .tde as the default extract engine starting in Tableau 10.5 and beyond, offering better performance and scalability. During this process, Tableau Desktop or Server displays a warning to inform the user of the upgrade, as it’s a one-way conversion (you can’t revert to .
tde on the Server).
Now, let’s evaluate the options:
* Option A (You will successfully publish without any errors or warnings): Incorrect. While the publishing succeeds, a warning about the .tde to .hyper conversion appears if the workbook contains embedded extracts. Without extracts, no warning occurs, but the question’s context implies extracts are likely involved (common in visualizations).
* Option B (Error message: unable to publish to a newer version): Incorrect. Tableau supports publishing from older Desktop versions to newer Server versions. There’s no outright error blocking this; compatibility is maintained.
* Option C (Warning: embedded .tde extracts will be upgraded to .hyper): Correct. This is the precise warning displayed when a workbook with .tde extracts is published to a Server version that uses
.hyper. It ensures the user is aware of the format change, which might affect extract refresh schedules or performance expectations.
* Option D (Warning: workbook will be upgraded to a new version): Partially correct but less specific. The workbook is upgraded to 2020.1 compatibility, but the warning focuses on the extract format change (.tde to .hyper), not the workbook version generically. Option C is more accurate.
Why This Matters: The .tde to .hyper shift improves query performance and supports larger datasets, but users need to know about it for planning (e.g., extract refresh schedules might need adjustment). The warning ensures transparency.
Reference: Tableau Server Documentation – “Publish a Workbook” (https://help.tableau.com/current/server
/en-us/publish_workbook.htm) and “Hyper Extract FAQ” (https://help.tableau.com/current/server/en-us
/hyper_faq.htm).

Registering Tableau Server from the command line involves providing configuration details (e.g., identity store, license) via the tsm register command. Let’s explore this fully:
* Registration Process:
* Run during initial setup or to update settings (e.g., after changing AD/LDAP config).
* Uses a configuration file to pass parameters to TSM.
* Command: tsm register –file <path-to-file>.
* File Format:
* Tableau Server uses JSON for configuration files in TSM commands like tsm register.
* Example:
json
CollapseWrapCopy
{
“identityStore”: {
“type”: “local”,
“domain”: “example.com”
}
}
* JSON is structured, machine-readable, and aligns with Tableau’s modern CLI design.
* Option C (JSON): Correct.
* Official format for tsm register, per documentation and practical use.
* Option A (YML): Incorrect.
* While tabsvc.yml exists internally, it’s not for registration-tsm register uses JSON.
* Option B (XML): Incorrect.
* Older Tableau configs used XML (e.g., workgroup.yml pre-TSM), but TSM standardized on JSON.
* Option D (HTTP): Incorrect.
* HTTP is a protocol, not a file format-irrelevant here.
Why This Matters: Correct file format ensures seamless registration, avoiding CLI errors in setup or migrations.
Reference: Tableau Server Documentation – “tsm register” (https://help.tableau.com/current/server/en-us
/cli_register.htm).

The VizQL Server process in Tableau Server handles rendering visualizations and processing queries for users viewing dashboards or workbooks. During installation, Tableau Server automatically configures the number of VizQL instances based on the number of processor cores on the machine, following this rule:
Default VizQL instances = 2 per node, unless manually adjusted post-installation.
In multi-node setups, additional instances may be added based on core count, but the question specifies a single server with 16 cores.
The installer does not scale VizQL instances linearly with core count by default (e.g., it doesn’t set 1 instance per 4 cores). Instead:
For a single-node installation, the default is 2 VizQL instances, regardless of core count (assuming the minimum hardware requirements are met: 8 cores, 32 GB RAM).
Administrators can later adjust this using TSM (e.g., tsm topology set-process) based on performance needs, but the question asks for the default configured by the installer.
Option A (4): Incorrect. Four instances might be configured manually for a 16-core server, but it’s not the default.
Option B (6): Incorrect. Six instances exceed the default for a single node.
Option C (10): Incorrect. Ten instances are far beyond the default and would require manual configuration.
Option D (2): Correct. The installer sets 2 VizQL instances by default on a single-node installation.
Reference: Tableau Server Documentation – “Server Process Settings” (https://help.tableau.com/current/server
/en-us/processes.htm).

Data-driven alerts notify users when data meets conditions (e.g., sales > $10K). Let’s examine when Tableau checks these:
* Alert Mechanics:
* Enabled per site (Settings > General > Data-Driven Alerts).
* Backgrounder evaluates conditions against extract data.
* Check Intervals: Configurable via tsm configuration set -k dataAlerts.checkIntervalInMinutes (default: 60 minutes).
* Refresh Trigger: Also checks post-extract refresh for immediate updates.
* Option A (Every 60 minutes): Correct.
* Details: Default interval-Backgrounder polls every hour to evaluate alert conditions.
* Config: Adjustable (e.g., -v 30 for 30 minutes).
* Option D (Whenever extracts in the related workbook are refreshed): Correct.
* Details: An extract refresh updates the data, triggering an immediate alert check to catch changes promptly.
* Why: Ensures timely notifications without waiting for the next poll.
* Option B (Every 10 minutes): Incorrect.
* Why: Not the default-possible via config, but not standard.
* Option C (Whenever a new extract is published): Incorrect.
* Why: Publishing creates the extract; alerts trigger on refreshes or polling, not initial publication.
Why This Matters: Timing affects alert responsiveness-balancing frequency and server load is key.
Reference: Tableau Server Documentation – “Data-Driven Alerts” (https://help.tableau.com/current/server/en- us/data_alerts.htm).