Analytics-Admn-201 Dumps with Practice Exam Questions Answers

Tableau Server provides multiple methods to create groups (collections of users) and projects (content containers), catering to UI, CLI, and programmatic needs. Let’s dissect each option with depth:

Option B (Tableau Server browser interface): Correct.

Groups: Go to Users > Groups > Add Group, name it, and optionally sync with Active Directory.

Projects: Go to Content > Projects > New Project, set name, description, and permissions.

Details: The web UI is intuitive, requiring server/site administrator rights. It’s ideal for manual, ad-hoc creation with immediate visibility.

Permissions: For projects, you can set default permissions or lock them here.

Option C (tabcmd): Correct.

Groups: tabcmd creategroup "GroupName" creates a local group. Add users with tabcmd addusers "GroupName" --users "user1,user2".

Projects: tabcmd createproject -n "ProjectName" -d "Description" creates a project.

Details: tabcmd is a command-line tool for batch operations or scripting (e.g., automating group/project setup). It requires a server admin login (tabcmd login).

Limitation: No AD sync via tabcmd—that’s UI or REST API territory.

Option D (REST API): Correct.

Groups: Use the POST /api/api-version/sites/site-id/groups endpoint with a payload (e.g., {"group": {"name": "GroupName"}}). Supports AD import too.

Projects: Use POST /api/api-version/sites/site-id/projects (e.g., {"project": {"name": "ProjectName", "description": "Desc"}}).

Details: The REST API is programmatic, ideal for integration with external systems or bulk automation. Requires authentication via a token and server/site admin rights.

Power: Offers full control, including nested projects and custom permissions.

Option A (tsm customize): Incorrect.

Purpose: tsm customize modifies TSM UI branding (e.g., logos, colors) via commands like tsm customize --logo "path/to/logo.png".

Why Wrong: It’s unrelated to creating groups or projects—it’s for cosmetic server configuration, not content/user management.

Why This Matters: Offering UI, CLI, and API options ensures flexibility—manual for small tasks, automation for scale—critical in enterprise deployments.

Tableau Server’s installer configures process instances based on hardware and deployment type (single-node vs. multi-node). For a single-node installation with 4 cores, we need to consider the default process topology. Let’s break this down exhaustively:

Key Processes:

Gateway: Handles incoming requests (1 instance).

Application Server (VizPortal): Manages UI and sessions (1 instance).

VizQL Server: Renders visualizations (2 instances).

Backgrounder: Runs extract refreshes, subscriptions (1 instance).

Data Server: Manages data connections (1 instance).

File Store: Stores extracts (1 instance).

Repository: Metadata database (1 instance, active).

Cluster Controller, Cache Server, etc.: Supporting processes (typically 1 each).

Default Configuration:

On a single-node install, Tableau sets 1 instance per process unless specified otherwise, except for VizQL, which defaults to 2.

The installer doesn’t scale instances linearly with cores (e.g., 4 cores ≠ 4 instances). Post-install, TSM can adjust this (e.g., tsm topology set-process), but the question asks for the installed default.

Minimum hardware (8 cores, 32 GB RAM) suggests higher defaults, but 4 cores still triggers a minimal setup.

Option B (1): Correct with Caveat.

Most processes (e.g., Backgrounder, Gateway, Data Server) default to 1 instance on install, regardless of 4 cores.

VizQL defaults to 2, but the question’s phrasing ("each process") implies a general rule. Historically (and per docs), 1 is the baseline for most, with VizQL as the exception.

Interpretation: Assuming "each" means the typical case, 1 fits most processes on a 4-core single-node setup.

Option A (2): Incorrect. Only VizQL defaults to 2; others don’t.

Option C (8): Incorrect. Far exceeds defaults—8 cores might justify more, but not 4.

Option D (4): Incorrect. Not tied to core count by default; manual config would be needed.

Why This Matters: Understanding defaults aids capacity planning—4 cores is below production minimum (8), so performance tuning may be needed post-install.

In Tableau, data sources can be embedded (stored within a workbook) or published (stored separately on Tableau Server). Let’s define these and analyze the advantages:

Embedded Data Source: The connection details and any extract are bundled in the .twb or .twbx file. Each workbook manages its own copy.

Published Data Source: The connection or extract is hosted on Tableau Server, reusable across multiple workbooks.

Now, let’s evaluate the options:

Option C (Centralized data management is easier): Correct. Published data sources allow:

Single source of truth: One data source can serve multiple workbooks, ensuring consistency.

Unified updates: Refresh schedules, permissions, and metadata (e.g., calculated fields) are managed in one place via the Server UI.

Governance: Administrators can control access and monitor usage centrally.In contrast, embedded data sources require individual updates per workbook, leading to duplication and management overhead.

Option D (Storage space is conserved and resource usage during data refreshes is optimized): Correct. With published data sources:

Storage: A single extract on the Server (e.g., a .hyper file) is shared across workbooks, avoiding redundant copies stored in each embedded workbook.

Refreshes: One refresh job updates the shared extract, reducing CPU and memory usage compared to multiple refreshes for duplicate embedded extracts.Embedded data sources replicate extracts, increasing disk space and refresh load.

Option A (Data is protected so that it is only available in one workbook): Incorrect. This describes embedded data sources, not published ones. Published data sources are shared, not restricted to one workbook—permissions control access, not exclusivity.

Option B (Drivers are automatically installed on each client's machine): Incorrect. Drivers (e.g., for SQL Server, PostgreSQL) must be installed on the Server hosting the published data source, not client machines. This is unrelated to the published vs. embedded distinction.

Why This Matters: Published data sources enhance scalability and efficiency in enterprise deployments, making them a cornerstone of Tableau Server’s data strategy.

In Tableau Server, projects organize content (workbooks, data sources) and use permissions to control access. "Locking permissions" restricts how permissions are managed within a project—let’s explore this exhaustively:

Permission Management Modes:

Managed by Owner: Default mode. Content owners (e.g., workbook publishers) can set permissions on their items, inheriting project defaults as a starting point.

Locked to the Project: Project-level permissions are enforced, and content owners cannot modify them. This ensures consistency across all items in the project.

How to Lock:

In the Tableau Server web UI:

Go to Content > Projects.

Select a project, click Actions > Permissions.

In the Permissions dialog, change Permissions Management from "Customizable" (Managed by Owner) to "Locked."

Set the desired permissions (e.g., Viewer, Editor) for users/groups, which then apply uniformly to all content.

Via REST API: Use the updateProject endpoint with "permissionsLocked": true.

Option B (You can lock permissions to a project by changing Customizable to Locked): Correct.

Details: This is the precise action in the UI—switching from "Customizable" to "Locked" locks permissions at the project level.

Impact: Owners lose the ability to override permissions on individual workbooks/data sources, enforcing governance.

Example: Set "All Users" to Viewer (Locked)—all content in the project is view-only, regardless of owner intent.

Option A (Locking permissions must be enabled on the Server Settings page): Incorrect.

Why: Locking is a per-project setting, not a server-wide toggle. The Server Settings page (via TSM) controls global configs (e.g., authentication), not project permissions.

Option C (Content permissions are locked by default): Incorrect.

Default: New projects are "Managed by Owner" (Customizable), allowing flexibility unless explicitly locked by an admin.

Option D (By setting the appropriate Project permission role): Incorrect.

Confusion: "Project permission role" isn’t a term—permissions are set via rules (e.g., Viewer, Editor), but locking is a separate action (Customizable → Locked).

Why This Matters: Locking permissions ensures uniform access control, critical for regulated environments or large teams where consistency trumps flexibility.