Free 1D0-61C sample questions

Correct answer: Traditional telephony systems draw continuous DC power directly from the central office via copper lines, whereas converged VoIP data equipment relies on local AC power that requires an uninterruptible power supply (UPS) during outages.

This is correct. In traditional telephony, the central office provides -48V DC power directly over the copper tip and ring wires, meaning phones work even if the building loses power. In a converged VoIP network, the IP phones and network switches rely on local AC power (often delivered via PoE from the switch). Therefore, local UPS systems are strictly required to maintain voice service during a power failure.

Correct answer: The TCP/IP Internet layer maps to OSI Layer 3 (Network), and the TCP/IP Transport layer maps to OSI Layer 4 (Transport).

This is the correct mapping. In the 4-layer TCP/IP model, the Internet layer corresponds directly to the Network layer (Layer 3) of the 7-layer OSI model, handling logical addressing and routing (e.g., IP). The Transport layer in TCP/IP maps directly to the Transport layer (Layer 4) in the OSI model, handling end-to-end communication (e.g., TCP, UDP).

Correct answer: A hybrid star-bus topology, combining a central linear backbone with radial departmental endpoints.

This is correct. The architecture describes a hybrid topology. Specifically, the high-speed fiber backbone connecting the nodes in a linear fashion represents a bus topology. The individual department buildings, which use a central switch connecting radially to multiple endpoints, represent a star topology. Combined, this creates a hybrid star-bus topology, highly common in campus and enterprise networks.

Correct answers: Hadoop utilizes a distributed file system to store data across multiple commodity servers, whereas a traditional SQL database typically relies on centralized storage.; Hadoop brings the processing logic directly to the nodes where the data resides, whereas traditional SQL databases usually pull data into a central processing engine.

Hadoop uses HDFS (Hadoop Distributed File System) to spread data across many nodes, providing high fault tolerance and horizontal scalability. Traditional SQL databases are typically centralized, relying on a single large server or a tightly coupled cluster for storage and processing.

This is correct. A key paradigm of Hadoop (via MapReduce or similar frameworks) is moving the computation to the data (data locality), which is highly efficient for massive datasets. Centralized SQL databases typically move data from storage to the compute engine for query execution.